Analyzing Social Media Data in Python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "dfb6cd52",
   "metadata": {},
   "source": [
    "# Objectives\n",
    "- Access to twitter API and load tweet.json\n",
    "- flatten tweet.json into pandas DataFrame\n",
    "- Working with twitter text data \n",
    "- Working with twitter network\n",
    "- Working with twitter geograph data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bedf8dda",
   "metadata": {},
   "source": [
    "# Analyizing twitter data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e5a3b84a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting tweepy\n",
      "  Downloading tweepy-4.12.1-py3-none-any.whl (101 kB)\n",
      "Collecting requests-oauthlib<2,>=1.2.0\n",
      "  Downloading requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)\n",
      "Collecting oauthlib<4,>=3.2.0\n",
      "  Downloading oauthlib-3.2.2-py3-none-any.whl (151 kB)\n",
      "Requirement already satisfied: requests<3,>=2.27.0 in c:\\users\\qxj\\anaconda3\\lib\\site-packages (from tweepy) (2.27.1)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\qxj\\anaconda3\\lib\\site-packages (from requests<3,>=2.27.0->tweepy) (3.3)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\qxj\\anaconda3\\lib\\site-packages (from requests<3,>=2.27.0->tweepy) (1.26.9)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\qxj\\anaconda3\\lib\\site-packages (from requests<3,>=2.27.0->tweepy) (2021.10.8)\n",
      "Requirement already satisfied: charset-normalizer~=2.0.0 in c:\\users\\qxj\\anaconda3\\lib\\site-packages (from requests<3,>=2.27.0->tweepy) (2.0.4)\n",
      "Installing collected packages: oauthlib, requests-oauthlib, tweepy\n",
      "Successfully installed oauthlib-3.2.2 requests-oauthlib-1.3.1 tweepy-4.12.1\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install tweepy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6f89cbe9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from tweepy import Stream\n",
    "import time "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f66f478f",
   "metadata": {},
   "source": [
    "## Uses of Twitter analysis\n",
    "- Collect mentions of the product and identify if people are talking about it positively.\n",
    "- Examine the size of the retweet network mentioning the product.\n",
    "- Analyzing the geographical penetration of users mentioning the product."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3eacb93",
   "metadata": {},
   "source": [
    "## Collecting data through the twitter API\n",
    "- Search API\n",
    "- Ads API\n",
    "- Streaming API\n",
    "  - **Filter endpoint**: keywords, User IDs, Locations \n",
    "  - **Sample endpoint**: random samples\n",
    "  - Authorization keys from Twitter\n",
    "  - Use python **tweepy** package \n",
    "- Twitter json file\n",
    "  - Use **json.loads()** to load the file from twitter\n",
    "  - access json contents by handles"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2616fbbc",
   "metadata": {},
   "source": [
    "**SListener object**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3caf327a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tweepy import Stream\n",
    "import time\n",
    "\n",
    "# Slistner object tells how to handle the data \n",
    "# we need to build on our own\n",
    "class SListner(Stream):\n",
    "    def __inti_(self, api = Non):\n",
    "        self.output = open('tweets_s%.json' %\n",
    "                          time.sriftime('%Y%m%d - %H%M%S'), w)\n",
    "        self.api = api or API()\n",
    "        ..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36b80f1d",
   "metadata": {},
   "source": [
    "**tweepy authentication**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2eb884ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tweepy import OAuthHandler\n",
    "from tweepy import API\n",
    "\n",
    "auth = OAuthHandler(consumer_key, consumer_secret)\n",
    "# set token\n",
    "auth.set_access_token(access_token, access_token_secret)\n",
    "# pass auth object to tweet api\n",
    "api = API(auth)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "baf8a309",
   "metadata": {},
   "source": [
    "**Collecting data with tweepy**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87f711ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tweepy import Stream\n",
    "\n",
    "listen = Slistener(api)\n",
    "steam = Stream(auth, listen)\n",
    "stream.sample()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db561063",
   "metadata": {},
   "source": [
    "**Collecting data on keywords**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54107f87",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tweepy import Stream\n",
    "\n",
    "# Set up words to track\n",
    "keywords_to_track = ['#rstats', '#python']\n",
    "\n",
    "# Instantiate the SListener object \n",
    "listen = SListener(api)\n",
    "\n",
    "# Instantiate the Stream object\n",
    "stream = Stream(auth, listen, access_token, access_token_secret)\n",
    "\n",
    "# Begin collecting data\n",
    "stream.filter(track = keywords_to_track)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97f0d8bc",
   "metadata": {},
   "source": [
    "**Accessing JSON**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d32e549a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "tweet_json = open('twweet_example.json', 'r').read()\n",
    "tweet = json.loads(tweet_json)\n",
    "tweet['text']\n",
    "\n",
    "# access to users' screen_name and created_at\n",
    "tweet['user']['screen_name']\n",
    "tweet['user']['created_at']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dfa8fd15",
   "metadata": {},
   "outputs": [],
   "source": [
    "tw_hashtag.to_csv('/QXj/Python/Datacamp/Marketing/twitter/tw_hastag.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ca867210",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contributors</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>created_at</th>\n",
       "      <th>display_text_range</th>\n",
       "      <th>entities</th>\n",
       "      <th>extended_entities</th>\n",
       "      <th>extended_tweet</th>\n",
       "      <th>extended_tweet-full_text</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>favorited</th>\n",
       "      <th>...</th>\n",
       "      <th>retweeted_status</th>\n",
       "      <th>retweeted_status-extended_tweet-full_text</th>\n",
       "      <th>retweeted_status-text</th>\n",
       "      <th>retweeted_status-user-screen_name</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>timestamp_ms</th>\n",
       "      <th>truncated</th>\n",
       "      <th>user</th>\n",
       "      <th>user-screen_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Thu Mar 01 07:02:41 +0000 2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'hashtags': [{'text': 'python', 'indices': [8...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>{'created_at': 'Thu Mar 01 06:47:35 +0000 2018...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Learning Penetration Testing With Python  http...</td>\n",
       "      <td>pythonbot_</td>\n",
       "      <td>&lt;a href=\"https://todo.mushfiqweb.com\" rel=\"nof...</td>\n",
       "      <td>RT @pythonbot_: Learning Penetration Testing W...</td>\n",
       "      <td>1519887761662</td>\n",
       "      <td>False</td>\n",
       "      <td>{'id': 67016746, 'id_str': '67016746', 'name':...</td>\n",
       "      <td>mushfiqweb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Thu Mar 01 07:57:08 +0000 2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'hashtags': [{'text': 'Software', 'indices': ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>{'created_at': 'Thu Mar 01 07:54:04 +0000 2018...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Is Language Agnosticism the Future of #Softwar...</td>\n",
       "      <td>I_m_ranjeet</td>\n",
       "      <td>&lt;a href=\"https://www.botlibre.com\" rel=\"nofoll...</td>\n",
       "      <td>RT @I_m_ranjeet: Is Language Agnosticism the F...</td>\n",
       "      <td>1519891028660</td>\n",
       "      <td>False</td>\n",
       "      <td>{'id': 962595301109518336, 'id_str': '96259530...</td>\n",
       "      <td>Dw_Develops</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Thu Mar 01 08:09:02 +0000 2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'hashtags': [{'text': 'python', 'indices': [0...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'full_text': \"#python goes to #school for #be...</td>\n",
       "      <td>#python goes to #school for #beginner #scienti...</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
       "      <td>#python goes to #school for #beginner #scienti...</td>\n",
       "      <td>1519891742657</td>\n",
       "      <td>True</td>\n",
       "      <td>{'id': 946400503029678080, 'id_str': '94640050...</td>\n",
       "      <td>pinyosminyos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Thu Mar 01 09:22:21 +0000 2018</td>\n",
       "      <td>[0, 115]</td>\n",
       "      <td>{'hashtags': [{'text': 'data', 'indices': [66,...</td>\n",
       "      <td>{'media': [{'id': 969140774720847873, 'id_str'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;a href=\"https://www.nytimes.com/\" rel=\"nofoll...</td>\n",
       "      <td>Easy way to set Oracle Active Dataguard\\n☞ htt...</td>\n",
       "      <td>1519896141665</td>\n",
       "      <td>False</td>\n",
       "      <td>{'id': 915436926500462592, 'id_str': '91543692...</td>\n",
       "      <td>datascience_new</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Thu Mar 01 12:04:04 +0000 2018</td>\n",
       "      <td>[0, 100]</td>\n",
       "      <td>{'hashtags': [{'text': 'python', 'indices': [4...</td>\n",
       "      <td>{'media': [{'id': 969181471796731904, 'id_str'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;a href=\"https://www.nytimes.com/\" rel=\"nofoll...</td>\n",
       "      <td>Python 3 for Beginners\\n☞ https://t.co/va5XaJX...</td>\n",
       "      <td>1519905844657</td>\n",
       "      <td>False</td>\n",
       "      <td>{'id': 912955536823410689, 'id_str': '91295553...</td>\n",
       "      <td>PythonCs</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   contributors coordinates                      created_at  \\\n",
       "0           NaN         NaN  Thu Mar 01 07:02:41 +0000 2018   \n",
       "1           NaN         NaN  Thu Mar 01 07:57:08 +0000 2018   \n",
       "2           NaN         NaN  Thu Mar 01 08:09:02 +0000 2018   \n",
       "3           NaN         NaN  Thu Mar 01 09:22:21 +0000 2018   \n",
       "4           NaN         NaN  Thu Mar 01 12:04:04 +0000 2018   \n",
       "\n",
       "  display_text_range                                           entities  \\\n",
       "0                NaN  {'hashtags': [{'text': 'python', 'indices': [8...   \n",
       "1                NaN  {'hashtags': [{'text': 'Software', 'indices': ...   \n",
       "2                NaN  {'hashtags': [{'text': 'python', 'indices': [0...   \n",
       "3           [0, 115]  {'hashtags': [{'text': 'data', 'indices': [66,...   \n",
       "4           [0, 100]  {'hashtags': [{'text': 'python', 'indices': [4...   \n",
       "\n",
       "                                   extended_entities  \\\n",
       "0                                                NaN   \n",
       "1                                                NaN   \n",
       "2                                                NaN   \n",
       "3  {'media': [{'id': 969140774720847873, 'id_str'...   \n",
       "4  {'media': [{'id': 969181471796731904, 'id_str'...   \n",
       "\n",
       "                                      extended_tweet  \\\n",
       "0                                                NaN   \n",
       "1                                                NaN   \n",
       "2  {'full_text': \"#python goes to #school for #be...   \n",
       "3                                                NaN   \n",
       "4                                                NaN   \n",
       "\n",
       "                            extended_tweet-full_text  favorite_count  \\\n",
       "0                                                NaN               0   \n",
       "1                                                NaN               0   \n",
       "2  #python goes to #school for #beginner #scienti...               0   \n",
       "3                                                NaN               0   \n",
       "4                                                NaN               0   \n",
       "\n",
       "   favorited  ...                                   retweeted_status  \\\n",
       "0      False  ...  {'created_at': 'Thu Mar 01 06:47:35 +0000 2018...   \n",
       "1      False  ...  {'created_at': 'Thu Mar 01 07:54:04 +0000 2018...   \n",
       "2      False  ...                                                NaN   \n",
       "3      False  ...                                                NaN   \n",
       "4      False  ...                                                NaN   \n",
       "\n",
       "  retweeted_status-extended_tweet-full_text  \\\n",
       "0                                       NaN   \n",
       "1                                       NaN   \n",
       "2                                       NaN   \n",
       "3                                       NaN   \n",
       "4                                       NaN   \n",
       "\n",
       "                               retweeted_status-text  \\\n",
       "0  Learning Penetration Testing With Python  http...   \n",
       "1  Is Language Agnosticism the Future of #Softwar...   \n",
       "2                                                NaN   \n",
       "3                                                NaN   \n",
       "4                                                NaN   \n",
       "\n",
       "   retweeted_status-user-screen_name  \\\n",
       "0                         pythonbot_   \n",
       "1                        I_m_ranjeet   \n",
       "2                                NaN   \n",
       "3                                NaN   \n",
       "4                                NaN   \n",
       "\n",
       "                                              source  \\\n",
       "0  <a href=\"https://todo.mushfiqweb.com\" rel=\"nof...   \n",
       "1  <a href=\"https://www.botlibre.com\" rel=\"nofoll...   \n",
       "2  <a href=\"http://twitter.com\" rel=\"nofollow\">Tw...   \n",
       "3  <a href=\"https://www.nytimes.com/\" rel=\"nofoll...   \n",
       "4  <a href=\"https://www.nytimes.com/\" rel=\"nofoll...   \n",
       "\n",
       "                                                text   timestamp_ms  \\\n",
       "0  RT @pythonbot_: Learning Penetration Testing W...  1519887761662   \n",
       "1  RT @I_m_ranjeet: Is Language Agnosticism the F...  1519891028660   \n",
       "2  #python goes to #school for #beginner #scienti...  1519891742657   \n",
       "3  Easy way to set Oracle Active Dataguard\\n☞ htt...  1519896141665   \n",
       "4  Python 3 for Beginners\\n☞ https://t.co/va5XaJX...  1519905844657   \n",
       "\n",
       "   truncated                                               user  \\\n",
       "0      False  {'id': 67016746, 'id_str': '67016746', 'name':...   \n",
       "1      False  {'id': 962595301109518336, 'id_str': '96259530...   \n",
       "2       True  {'id': 946400503029678080, 'id_str': '94640050...   \n",
       "3      False  {'id': 915436926500462592, 'id_str': '91543692...   \n",
       "4      False  {'id': 912955536823410689, 'id_str': '91295553...   \n",
       "\n",
       "   user-screen_name  \n",
       "0        mushfiqweb  \n",
       "1       Dw_Develops  \n",
       "2      pinyosminyos  \n",
       "3   datascience_new  \n",
       "4          PythonCs  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://assets.datacamp.com/production/repositories/2161/datasets/43d85d27d293323c1a4effec25717d0c2eb43169/data-science-hashtags.csv'\n",
    "tw_hashtag = pd.read_csv(url)\n",
    "tw_hashtag.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9fc204ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "tw_reply.to_csv('/QXj/Python/Datacamp/Marketing/twitter/tw_reply.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "597ce181",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contributors</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>created_at</th>\n",
       "      <th>display_text_range</th>\n",
       "      <th>extended_entities</th>\n",
       "      <th>extended_tweet</th>\n",
       "      <th>extended_tweet-full_text</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>favorited</th>\n",
       "      <th>filter_level</th>\n",
       "      <th>...</th>\n",
       "      <th>quoted_status_id</th>\n",
       "      <th>quoted_status_id_str</th>\n",
       "      <th>reply_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>retweeted</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>timestamp_ms</th>\n",
       "      <th>truncated</th>\n",
       "      <th>user-screen_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wed Jan 31 00:21:22 +0000 2018</td>\n",
       "      <td>[34, 140]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'full_text': '@LouDobbs @realDonaldTrump @POT...</td>\n",
       "      <td>@LouDobbs @realDonaldTrump @POTUS Discourage i...</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>...</td>\n",
       "      <td>9.577015e+17</td>\n",
       "      <td>9.577015e+17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
       "      <td>@LouDobbs @realDonaldTrump @POTUS Discourage i...</td>\n",
       "      <td>1517358082783</td>\n",
       "      <td>True</td>\n",
       "      <td>ProfessorRobo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wed Jan 31 02:42:15 +0000 2018</td>\n",
       "      <td>[0, 14]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>...</td>\n",
       "      <td>9.585300e+17</td>\n",
       "      <td>9.585300e+17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>@ChristianMohn https://t.co/WUP9k7DHrm</td>\n",
       "      <td>1517366535591</td>\n",
       "      <td>False</td>\n",
       "      <td>BethMohn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tue Jan 30 19:19:49 +0000 2018</td>\n",
       "      <td>[17, 140]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'full_text': '@LarrySchweikart People stay ho...</td>\n",
       "      <td>@LarrySchweikart People stay home to avoid #Fa...</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/android\" ...</td>\n",
       "      <td>@LarrySchweikart People stay home to avoid #Fa...</td>\n",
       "      <td>1517339989113</td>\n",
       "      <td>True</td>\n",
       "      <td>ASilNY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tue Jan 30 23:46:17 +0000 2018</td>\n",
       "      <td>[12, 35]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>...</td>\n",
       "      <td>9.584821e+17</td>\n",
       "      <td>9.584821e+17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
       "      <td>@WhiteHouse https://t.co/WgZvh2L6aT</td>\n",
       "      <td>1517355977521</td>\n",
       "      <td>False</td>\n",
       "      <td>mattg444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tue Jan 30 22:21:52 +0000 2018</td>\n",
       "      <td>[10, 60]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>@aravosis I'm telling you he's practicing Tele...</td>\n",
       "      <td>1517350912194</td>\n",
       "      <td>False</td>\n",
       "      <td>hlthiskrieger</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   contributors  coordinates                      created_at  \\\n",
       "0           NaN          NaN  Wed Jan 31 00:21:22 +0000 2018   \n",
       "1           NaN          NaN  Wed Jan 31 02:42:15 +0000 2018   \n",
       "2           NaN          NaN  Tue Jan 30 19:19:49 +0000 2018   \n",
       "3           NaN          NaN  Tue Jan 30 23:46:17 +0000 2018   \n",
       "4           NaN          NaN  Tue Jan 30 22:21:52 +0000 2018   \n",
       "\n",
       "  display_text_range extended_entities  \\\n",
       "0          [34, 140]               NaN   \n",
       "1            [0, 14]               NaN   \n",
       "2          [17, 140]               NaN   \n",
       "3           [12, 35]               NaN   \n",
       "4           [10, 60]               NaN   \n",
       "\n",
       "                                      extended_tweet  \\\n",
       "0  {'full_text': '@LouDobbs @realDonaldTrump @POT...   \n",
       "1                                                NaN   \n",
       "2  {'full_text': '@LarrySchweikart People stay ho...   \n",
       "3                                                NaN   \n",
       "4                                                NaN   \n",
       "\n",
       "                            extended_tweet-full_text  favorite_count  \\\n",
       "0  @LouDobbs @realDonaldTrump @POTUS Discourage i...               0   \n",
       "1                                                NaN               0   \n",
       "2  @LarrySchweikart People stay home to avoid #Fa...               0   \n",
       "3                                                NaN               0   \n",
       "4                                                NaN               0   \n",
       "\n",
       "   favorited filter_level  ...  quoted_status_id  quoted_status_id_str  \\\n",
       "0      False          low  ...      9.577015e+17          9.577015e+17   \n",
       "1      False          low  ...      9.585300e+17          9.585300e+17   \n",
       "2      False          low  ...               NaN                   NaN   \n",
       "3      False          low  ...      9.584821e+17          9.584821e+17   \n",
       "4      False          low  ...               NaN                   NaN   \n",
       "\n",
       "   reply_count retweet_count  retweeted  \\\n",
       "0            0             0      False   \n",
       "1            0             0      False   \n",
       "2            0             0      False   \n",
       "3            0             0      False   \n",
       "4            0             0      False   \n",
       "\n",
       "                                              source  \\\n",
       "0  <a href=\"http://twitter.com\" rel=\"nofollow\">Tw...   \n",
       "1  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2  <a href=\"http://twitter.com/download/android\" ...   \n",
       "3  <a href=\"http://twitter.com\" rel=\"nofollow\">Tw...   \n",
       "4  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                text   timestamp_ms  \\\n",
       "0  @LouDobbs @realDonaldTrump @POTUS Discourage i...  1517358082783   \n",
       "1             @ChristianMohn https://t.co/WUP9k7DHrm  1517366535591   \n",
       "2  @LarrySchweikart People stay home to avoid #Fa...  1517339989113   \n",
       "3                @WhiteHouse https://t.co/WgZvh2L6aT  1517355977521   \n",
       "4  @aravosis I'm telling you he's practicing Tele...  1517350912194   \n",
       "\n",
       "   truncated user-screen_name  \n",
       "0       True    ProfessorRobo  \n",
       "1      False         BethMohn  \n",
       "2       True           ASilNY  \n",
       "3      False         mattg444  \n",
       "4      False    hlthiskrieger  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://assets.datacamp.com/production/repositories/2161/datasets/55860c218310485e9400997ae33aecd0e97f8b51/sotu2018-reply.csv'\n",
    "tw_reply = pd.read_csv(url)\n",
    "tw_reply.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fe13bf61",
   "metadata": {},
   "outputs": [],
   "source": [
    "retweet.to_csv('/QXj/Python/Datacamp/Marketing/twitter/retweet.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2e77f18e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contributors</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>created_at</th>\n",
       "      <th>extended_entities</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>favorited</th>\n",
       "      <th>filter_level</th>\n",
       "      <th>geo</th>\n",
       "      <th>id</th>\n",
       "      <th>id_str</th>\n",
       "      <th>...</th>\n",
       "      <th>retweeted</th>\n",
       "      <th>retweeted_status-extended_tweet-full_text</th>\n",
       "      <th>retweeted_status-text</th>\n",
       "      <th>retweeted_status-user-screen_name</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>timestamp_ms</th>\n",
       "      <th>truncated</th>\n",
       "      <th>user-screen_name</th>\n",
       "      <th>withheld_in_countries</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wed Jan 31 03:51:59 +0000 2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>NaN</td>\n",
       "      <td>958548390052179968</td>\n",
       "      <td>958548390052179968</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>A PERFECT ANALOGY:\\n\\nSeveral democrats are br...</td>\n",
       "      <td>A PERFECT ANALOGY:\\n\\nSeveral democrats are br...</td>\n",
       "      <td>ScottPresler</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @ScottPresler: A PERFECT ANALOGY:\\n\\nSevera...</td>\n",
       "      <td>1517370719813</td>\n",
       "      <td>False</td>\n",
       "      <td>MatthewJAld</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wed Jan 31 03:55:33 +0000 2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>NaN</td>\n",
       "      <td>958549287285215232</td>\n",
       "      <td>958549287285215232</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>President Trump invited families of Americans ...</td>\n",
       "      <td>RealJack</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/android\" ...</td>\n",
       "      <td>RT @RealJack: President Trump invited families...</td>\n",
       "      <td>1517370933730</td>\n",
       "      <td>False</td>\n",
       "      <td>broussard_sr</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wed Jan 31 03:09:22 +0000 2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>NaN</td>\n",
       "      <td>958537665334296577</td>\n",
       "      <td>958537665334296577</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Don't you be fooled by any of his White Suprem...</td>\n",
       "      <td>UNITEDWEDREAM</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @UNITEDWEDREAM: Don't you be fooled by any ...</td>\n",
       "      <td>1517368162841</td>\n",
       "      <td>False</td>\n",
       "      <td>CLSTEPHANY</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wed Jan 31 02:36:19 +0000 2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>NaN</td>\n",
       "      <td>958529347828305921</td>\n",
       "      <td>958529347828305921</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Uh-oh. Our president mentioned the FIRST and S...</td>\n",
       "      <td>TomiLahren</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @TomiLahren: Uh-oh. Our president mentioned...</td>\n",
       "      <td>1517366179793</td>\n",
       "      <td>False</td>\n",
       "      <td>DAWNSTUTESMAN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wed Jan 31 02:46:24 +0000 2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>NaN</td>\n",
       "      <td>958531885424173057</td>\n",
       "      <td>958531885424173057</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>Tonight isn't about memos, fake news, free thi...</td>\n",
       "      <td>Tonight isn't about memos, fake news, free thi...</td>\n",
       "      <td>TomiLahren</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/android\" ...</td>\n",
       "      <td>RT @TomiLahren: Tonight isn't about memos, fak...</td>\n",
       "      <td>1517366784803</td>\n",
       "      <td>False</td>\n",
       "      <td>SCischk</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   contributors  coordinates                      created_at  \\\n",
       "0           NaN          NaN  Wed Jan 31 03:51:59 +0000 2018   \n",
       "1           NaN          NaN  Wed Jan 31 03:55:33 +0000 2018   \n",
       "2           NaN          NaN  Wed Jan 31 03:09:22 +0000 2018   \n",
       "3           NaN          NaN  Wed Jan 31 02:36:19 +0000 2018   \n",
       "4           NaN          NaN  Wed Jan 31 02:46:24 +0000 2018   \n",
       "\n",
       "  extended_entities  favorite_count  favorited filter_level  geo  \\\n",
       "0               NaN               0      False          low  NaN   \n",
       "1               NaN               0      False          low  NaN   \n",
       "2               NaN               0      False          low  NaN   \n",
       "3               NaN               0      False          low  NaN   \n",
       "4               NaN               0      False          low  NaN   \n",
       "\n",
       "                   id              id_str  ...  retweeted  \\\n",
       "0  958548390052179968  958548390052179968  ...      False   \n",
       "1  958549287285215232  958549287285215232  ...      False   \n",
       "2  958537665334296577  958537665334296577  ...      False   \n",
       "3  958529347828305921  958529347828305921  ...      False   \n",
       "4  958531885424173057  958531885424173057  ...      False   \n",
       "\n",
       "           retweeted_status-extended_tweet-full_text  \\\n",
       "0  A PERFECT ANALOGY:\\n\\nSeveral democrats are br...   \n",
       "1                                                NaN   \n",
       "2                                                NaN   \n",
       "3                                                NaN   \n",
       "4  Tonight isn't about memos, fake news, free thi...   \n",
       "\n",
       "                               retweeted_status-text  \\\n",
       "0  A PERFECT ANALOGY:\\n\\nSeveral democrats are br...   \n",
       "1  President Trump invited families of Americans ...   \n",
       "2  Don't you be fooled by any of his White Suprem...   \n",
       "3  Uh-oh. Our president mentioned the FIRST and S...   \n",
       "4  Tonight isn't about memos, fake news, free thi...   \n",
       "\n",
       "   retweeted_status-user-screen_name  \\\n",
       "0                       ScottPresler   \n",
       "1                           RealJack   \n",
       "2                      UNITEDWEDREAM   \n",
       "3                         TomiLahren   \n",
       "4                         TomiLahren   \n",
       "\n",
       "                                              source  \\\n",
       "0  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1  <a href=\"http://twitter.com/download/android\" ...   \n",
       "2  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "3  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "4  <a href=\"http://twitter.com/download/android\" ...   \n",
       "\n",
       "                                                text   timestamp_ms  \\\n",
       "0  RT @ScottPresler: A PERFECT ANALOGY:\\n\\nSevera...  1517370719813   \n",
       "1  RT @RealJack: President Trump invited families...  1517370933730   \n",
       "2  RT @UNITEDWEDREAM: Don't you be fooled by any ...  1517368162841   \n",
       "3  RT @TomiLahren: Uh-oh. Our president mentioned...  1517366179793   \n",
       "4  RT @TomiLahren: Tonight isn't about memos, fak...  1517366784803   \n",
       "\n",
       "   truncated user-screen_name  withheld_in_countries  \n",
       "0      False      MatthewJAld                    NaN  \n",
       "1      False     broussard_sr                    NaN  \n",
       "2      False       CLSTEPHANY                    NaN  \n",
       "3      False    DAWNSTUTESMAN                    NaN  \n",
       "4      False          SCischk                    NaN  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://assets.datacamp.com/production/repositories/2161/datasets/51e79668580cdb86969c2c625172eaed2ded684a/sotu2018-rt.csv'\n",
    "retweet =pd.read_csv(url)\n",
    "retweet.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7790401",
   "metadata": {},
   "source": [
    "## 2. Processing twitter text\n",
    "- Parse JSON file into pandas DataFrame by flattenting \n",
    "- **Counting words**: \n",
    "  - basic step for automation of text analysis\n",
    "  - can tell us how many times a relevant keyword is mentioned in documents in comparison to others\n",
    "- **Time series** data: measure the keywords change over a time\n",
    "- **Sentiment analysis**: deriving meaning from text\n",
    "  - counting positive/negative words in the document\n",
    "  - assessing positivity/negativity of the whole document \n",
    "  - Use: analyzing reactions to a company, product, politician or policy\n",
    "  - VADER *SentimentIntensityAnalyzer()* -> part of NLT(**nltk**)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "237095b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# more than 140 characters\n",
    "tweet['extended_tweet']['fill_text']\n",
    "# retweets and quoted tweets\n",
    "tweet['quoted_status']['extended_tweet']['full_text']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1106642",
   "metadata": {},
   "source": [
    "**flattening twitter JSON**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "983d502e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#flattening tweeter JSON keys for 2d to 1d\n",
    "extended_tweet['extended_tweet-full_text'] = extended_tweet['extended_tweet']['full_text']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b09fe80",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Using loop to flattenting tweeter\n",
    "\n",
    "tweet_list= []\n",
    "with open('all_tweets.json', 'r') as fh:\n",
    "    tweets_json = fh.read().split('\\n')\n",
    "    for tweet in tweets_json:\n",
    "        tweet_obj = json.loads(tweet)\n",
    "        if 'extended_tweet' in tweet_obj:\n",
    "            tweet_obj['exteeded_tweet']['full_text']\n",
    "    ...\n",
    "    tweet_list.append(tweet)\n",
    "tweets = pd.DataFrame(tweet_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "79ca9a26",
   "metadata": {},
   "outputs": [],
   "source": [
    "# example \n",
    "def flatten_tweets(tweets_json):\n",
    "    \"\"\" Flattens out tweet dictionaries so relevant JSON\n",
    "        is in a top-level dictionary.\"\"\"\n",
    "    tweets_list = []\n",
    "    \n",
    "    # Iterate through each tweet\n",
    "    for tweet in tweets_json:\n",
    "        tweet_obj = json.loads(tweet)\n",
    "    \n",
    "        # Store the user screen name in 'user-screen_name'\n",
    "        tweet_obj['user-screen_name'] = tweet_obj['user']['screen_name']\n",
    "    \n",
    "        # Check if this is a 140+ character tweet\n",
    "        if 'extended_tweet' in tweet_obj:\n",
    "            # Store the extended tweet text in 'extended_tweet-full_text'\n",
    "            tweet_obj['extended_tweet-full_text'] = tweet_obj['extended_tweet']['full_text']\n",
    "    \n",
    "        if 'retweeted_status' in tweet_obj:\n",
    "            # Store the retweet user screen name in 'retweeted_status-user-screen_name'\n",
    "            tweet_obj['retweeted_status-user-screen_name'] = tweet_obj['retweeted_status']['user']['screen_name'] \n",
    "\n",
    "            # Store the retweet text in 'retweeted_status-text'\n",
    "            tweet_obj['retweeted_status-text'] = tweet_obj['retweeted_status']['text']\n",
    "            \n",
    "        tweets_list.append(tweet_obj)\n",
    "    return tweets_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "501c51d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import pandas\n",
    "import pandas as pd\n",
    "\n",
    "# Flatten the tweets and store in `tweets`\n",
    "tweets = flatten_tweets(data_science_json)\n",
    "\n",
    "# Create a DataFrame from `tweets`\n",
    "ds_tweets = pd.DataFrame(tweets)\n",
    "\n",
    "# Print out the first 5 tweets from this dataset\n",
    "print(ds_tweets['text'].values[0:5])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddb2ed4b",
   "metadata": {},
   "source": [
    "**Counting words**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ff98ed39",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.33205128205128204\n"
     ]
    }
   ],
   "source": [
    "trump = retweet['retweeted_status-text'].str.contains('trump', case = False)\n",
    "print(np.sum(trump)/retweet.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f02271b",
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets = pd.DataFrame(flatten_tweets(companies_json))\n",
    "apple = tweets['text'].str.contains('apple', case = False)\n",
    "print(np.sum(apple)/tweets.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "72d0b8da",
   "metadata": {},
   "outputs": [],
   "source": [
    "apple = tweets['text'].str.contains('apple', case = False)\n",
    "\n",
    "# counting in multiple text file\n",
    "for column in ['extended_tweet-full_text',\n",
    "              'retweeted_status-text',\n",
    "              'retweeted_status-extended_tweet-full_text']:\n",
    "    apple = apple | tweets[column].str.contains('apple', case = False)\n",
    "    \n",
    "print(np.sum(apple)/tweets.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "78dceaa6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# looking for text in all the wrong places function\n",
    "ef check_word_in_tweet(word, data):\n",
    "    \"\"\"Checks if a word is in a Twitter dataset's text. \n",
    "    Checks text and extended tweet (140+ character tweets) for tweets,\n",
    "    retweets and quoted tweets.\n",
    "    Returns a logical pandas Series.\n",
    "    \"\"\"\n",
    "    contains_column = data['text'].str.contains(word, case = False)\n",
    "    contains_column |= data['extended_tweet-full_text'].str.contains(word, case = False)\n",
    "    contains_column |= data['quoted_status-text'].str.contains(word, case = False)\n",
    "    contains_column |= data['quoted_status-extended_tweet-full_text'].str.contains(word, case = False)\n",
    "    contains_column |= data['retweeted_status-text'].str.contains(word, case=False)\n",
    "    contains_column |= data['retweeted_status-extended_tweet-full_text'].str.contains(word, case=False)\n",
    "    return contains_column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c4af3dd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# compare #python to #rstats\n",
    "# Find mentions of #python in all text fields\n",
    "python = check_word_in_tweet('#python', ds_tweets)\n",
    "\n",
    "# Find mentions of #rstats in all text fields\n",
    "rstats = check_word_in_tweet('#rstats', ds_tweets)\n",
    "\n",
    "# Print proportion of tweets mentioning #python\n",
    "print(\"Proportion of #python tweets:\", np.sum(python) / ds_tweets.shape[0])\n",
    "\n",
    "# Print proportion of tweets mentioning #rstats\n",
    "print(\"Proportion of #rstats tweets:\", np.sum(rstats) / ds_tweets.shape[0])"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "id": "d9f84527",
   "metadata": {},
   "source": [
    "**Time series**: \n",
    "how much keywords change over time\n",
    "- > ![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6060a527",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0       Wed Jan 31 00:21:22 +0000 2018\n",
      "1       Wed Jan 31 02:42:15 +0000 2018\n",
      "2       Tue Jan 30 19:19:49 +0000 2018\n",
      "3       Tue Jan 30 23:46:17 +0000 2018\n",
      "4       Tue Jan 30 22:21:52 +0000 2018\n",
      "                     ...              \n",
      "1995    Tue Jan 30 19:49:19 +0000 2018\n",
      "1996    Wed Jan 31 00:37:30 +0000 2018\n",
      "1997    Wed Jan 31 01:42:00 +0000 2018\n",
      "1998    Wed Jan 31 00:04:59 +0000 2018\n",
      "1999    Tue Jan 30 20:48:49 +0000 2018\n",
      "Name: created_at, Length: 2000, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(tw_reply['created_at'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f1a99e29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2018-01-31 00:21:22+00:00\n",
       "1   2018-01-31 02:42:15+00:00\n",
       "2   2018-01-30 19:19:49+00:00\n",
       "3   2018-01-30 23:46:17+00:00\n",
       "4   2018-01-30 22:21:52+00:00\n",
       "Name: created_at, dtype: datetime64[ns, UTC]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tw_reply['created_at'] = pd.to_datetime(tw_reply['created_at'], utc = None)\n",
    "tw_reply['created_at'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9ba07222",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contributors</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>created_at</th>\n",
       "      <th>display_text_range</th>\n",
       "      <th>extended_entities</th>\n",
       "      <th>extended_tweet</th>\n",
       "      <th>extended_tweet-full_text</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>favorited</th>\n",
       "      <th>filter_level</th>\n",
       "      <th>...</th>\n",
       "      <th>quoted_status_id</th>\n",
       "      <th>quoted_status_id_str</th>\n",
       "      <th>reply_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>retweeted</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>timestamp_ms</th>\n",
       "      <th>truncated</th>\n",
       "      <th>user-screen_name</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-31 00:21:22+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-31 00:21:22+00:00</td>\n",
       "      <td>[34, 140]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'full_text': '@LouDobbs @realDonaldTrump @POT...</td>\n",
       "      <td>@LouDobbs @realDonaldTrump @POTUS Discourage i...</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>...</td>\n",
       "      <td>9.577015e+17</td>\n",
       "      <td>9.577015e+17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
       "      <td>@LouDobbs @realDonaldTrump @POTUS Discourage i...</td>\n",
       "      <td>1517358082783</td>\n",
       "      <td>True</td>\n",
       "      <td>ProfessorRobo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-31 02:42:15+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-31 02:42:15+00:00</td>\n",
       "      <td>[0, 14]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>...</td>\n",
       "      <td>9.585300e+17</td>\n",
       "      <td>9.585300e+17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>@ChristianMohn https://t.co/WUP9k7DHrm</td>\n",
       "      <td>1517366535591</td>\n",
       "      <td>False</td>\n",
       "      <td>BethMohn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-30 19:19:49+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 19:19:49+00:00</td>\n",
       "      <td>[17, 140]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'full_text': '@LarrySchweikart People stay ho...</td>\n",
       "      <td>@LarrySchweikart People stay home to avoid #Fa...</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>low</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/android\" ...</td>\n",
       "      <td>@LarrySchweikart People stay home to avoid #Fa...</td>\n",
       "      <td>1517339989113</td>\n",
       "      <td>True</td>\n",
       "      <td>ASilNY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           contributors  coordinates  \\\n",
       "created_at                                             \n",
       "2018-01-31 00:21:22+00:00           NaN          NaN   \n",
       "2018-01-31 02:42:15+00:00           NaN          NaN   \n",
       "2018-01-30 19:19:49+00:00           NaN          NaN   \n",
       "\n",
       "                                         created_at display_text_range  \\\n",
       "created_at                                                               \n",
       "2018-01-31 00:21:22+00:00 2018-01-31 00:21:22+00:00          [34, 140]   \n",
       "2018-01-31 02:42:15+00:00 2018-01-31 02:42:15+00:00            [0, 14]   \n",
       "2018-01-30 19:19:49+00:00 2018-01-30 19:19:49+00:00          [17, 140]   \n",
       "\n",
       "                          extended_entities  \\\n",
       "created_at                                    \n",
       "2018-01-31 00:21:22+00:00               NaN   \n",
       "2018-01-31 02:42:15+00:00               NaN   \n",
       "2018-01-30 19:19:49+00:00               NaN   \n",
       "\n",
       "                                                              extended_tweet  \\\n",
       "created_at                                                                     \n",
       "2018-01-31 00:21:22+00:00  {'full_text': '@LouDobbs @realDonaldTrump @POT...   \n",
       "2018-01-31 02:42:15+00:00                                                NaN   \n",
       "2018-01-30 19:19:49+00:00  {'full_text': '@LarrySchweikart People stay ho...   \n",
       "\n",
       "                                                    extended_tweet-full_text  \\\n",
       "created_at                                                                     \n",
       "2018-01-31 00:21:22+00:00  @LouDobbs @realDonaldTrump @POTUS Discourage i...   \n",
       "2018-01-31 02:42:15+00:00                                                NaN   \n",
       "2018-01-30 19:19:49+00:00  @LarrySchweikart People stay home to avoid #Fa...   \n",
       "\n",
       "                           favorite_count  favorited filter_level  ...  \\\n",
       "created_at                                                         ...   \n",
       "2018-01-31 00:21:22+00:00               0      False          low  ...   \n",
       "2018-01-31 02:42:15+00:00               0      False          low  ...   \n",
       "2018-01-30 19:19:49+00:00               0      False          low  ...   \n",
       "\n",
       "                           quoted_status_id  quoted_status_id_str  \\\n",
       "created_at                                                          \n",
       "2018-01-31 00:21:22+00:00      9.577015e+17          9.577015e+17   \n",
       "2018-01-31 02:42:15+00:00      9.585300e+17          9.585300e+17   \n",
       "2018-01-30 19:19:49+00:00               NaN                   NaN   \n",
       "\n",
       "                           reply_count retweet_count  retweeted  \\\n",
       "created_at                                                        \n",
       "2018-01-31 00:21:22+00:00            0             0      False   \n",
       "2018-01-31 02:42:15+00:00            0             0      False   \n",
       "2018-01-30 19:19:49+00:00            0             0      False   \n",
       "\n",
       "                                                                      source  \\\n",
       "created_at                                                                     \n",
       "2018-01-31 00:21:22+00:00  <a href=\"http://twitter.com\" rel=\"nofollow\">Tw...   \n",
       "2018-01-31 02:42:15+00:00  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2018-01-30 19:19:49+00:00  <a href=\"http://twitter.com/download/android\" ...   \n",
       "\n",
       "                                                                        text  \\\n",
       "created_at                                                                     \n",
       "2018-01-31 00:21:22+00:00  @LouDobbs @realDonaldTrump @POTUS Discourage i...   \n",
       "2018-01-31 02:42:15+00:00             @ChristianMohn https://t.co/WUP9k7DHrm   \n",
       "2018-01-30 19:19:49+00:00  @LarrySchweikart People stay home to avoid #Fa...   \n",
       "\n",
       "                            timestamp_ms  truncated user-screen_name  \n",
       "created_at                                                            \n",
       "2018-01-31 00:21:22+00:00  1517358082783       True    ProfessorRobo  \n",
       "2018-01-31 02:42:15+00:00  1517366535591      False         BethMohn  \n",
       "2018-01-30 19:19:49+00:00  1517339989113       True           ASilNY  \n",
       "\n",
       "[3 rows x 36 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tw_reply = tw_reply.set_index(tw_reply['created_at'])\n",
    "tw_reply.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6be87206",
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_word_in_text(keyword, df):\n",
    "    keywords = df['text'].str.contains(keyword, case = False)\n",
    "    return keywords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "05965dd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "created_at\n",
       "2018-01-31 00:21:22+00:00     True\n",
       "2018-01-31 02:42:15+00:00    False\n",
       "2018-01-30 19:19:49+00:00    False\n",
       "2018-01-30 23:46:17+00:00    False\n",
       "2018-01-30 22:21:52+00:00    False\n",
       "                             ...  \n",
       "2018-01-30 19:49:19+00:00     True\n",
       "2018-01-31 00:37:30+00:00     True\n",
       "2018-01-31 01:42:00+00:00    False\n",
       "2018-01-31 00:04:59+00:00     True\n",
       "2018-01-30 20:48:49+00:00     True\n",
       "Name: text, Length: 2000, dtype: bool"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "check_word_in_text('trump', tw_reply)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "7dcdd087",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "created_at\n",
      "2018-01-31 00:21:22+00:00     True\n",
      "2018-01-31 02:42:15+00:00    False\n",
      "2018-01-30 19:19:49+00:00    False\n",
      "2018-01-30 23:46:17+00:00    False\n",
      "2018-01-30 22:21:52+00:00    False\n",
      "Name: trump, dtype: bool\n"
     ]
    }
   ],
   "source": [
    "tw_reply['trump'] = check_word_in_text('trump', tw_reply)\n",
    "print(tw_reply['trump'].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "eef73430",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "608\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(tw_reply['trump']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "cbe51af0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "created_at\n",
       "2018-01-30 14:00:00+00:00    0.375000\n",
       "2018-01-30 15:00:00+00:00    0.274510\n",
       "2018-01-30 16:00:00+00:00    0.318182\n",
       "2018-01-30 17:00:00+00:00    0.403846\n",
       "2018-01-30 18:00:00+00:00    0.352273\n",
       "2018-01-30 19:00:00+00:00    0.324561\n",
       "2018-01-30 20:00:00+00:00    0.212766\n",
       "2018-01-30 21:00:00+00:00    0.300000\n",
       "2018-01-30 22:00:00+00:00    0.339286\n",
       "2018-01-30 23:00:00+00:00    0.264368\n",
       "2018-01-31 00:00:00+00:00    0.315556\n",
       "2018-01-31 01:00:00+00:00    0.299342\n",
       "2018-01-31 02:00:00+00:00    0.240000\n",
       "2018-01-31 03:00:00+00:00    0.352381\n",
       "Freq: H, Name: trump, dtype: float64"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# generating keywords mean\n",
    "# resample: summerize over a time window of our choice and apply a function to it\n",
    "mean_trump = tw_reply['trump'].resample('1 h').mean().fillna(0)\n",
    "# min, h, d\n",
    "mean_trump\n",
    "# measure as proportion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "621135f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(mean_trump.index.hour,\n",
    "         # minute is frequency\n",
    "        mean_trump, color = 'green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1788dc4",
   "metadata": {},
   "source": [
    "**Sentiment analysis**: deriving meaning from text\n",
    "- does it face validity? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "3c1fb3fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package vader_lexicon to\n",
      "[nltk_data]     C:\\Users\\QXJ\\AppData\\Roaming\\nltk_data...\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download('vader_lexicon')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "e3354f2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "created_at\n",
       "2018-01-31 00:21:22+00:00    {'neg': 0.467, 'neu': 0.374, 'pos': 0.159, 'co...\n",
       "2018-01-31 02:42:15+00:00    {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...\n",
       "2018-01-30 19:19:49+00:00    {'neg': 0.31, 'neu': 0.69, 'pos': 0.0, 'compou...\n",
       "2018-01-30 23:46:17+00:00    {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...\n",
       "2018-01-30 22:21:52+00:00    {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...\n",
       "                                                   ...                        \n",
       "2018-01-30 19:49:19+00:00    {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...\n",
       "2018-01-31 00:37:30+00:00    {'neg': 0.118, 'neu': 0.882, 'pos': 0.0, 'comp...\n",
       "2018-01-31 01:42:00+00:00    {'neg': 0.0, 'neu': 0.77, 'pos': 0.23, 'compou...\n",
       "2018-01-31 00:04:59+00:00    {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...\n",
       "2018-01-30 20:48:49+00:00    {'neg': 0.0, 'neu': 0.833, 'pos': 0.167, 'comp...\n",
       "Name: text, Length: 2000, dtype: object"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
    "sid = SentimentIntensityAnalyzer()\n",
    "sentiment_score = tw_reply['text'].apply(sid.polarity_scores)\n",
    "sentiment_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "0016b3e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "created_at\n",
       "2018-01-30 14:07:00+00:00    0.000000\n",
       "2018-01-30 14:08:00+00:00         NaN\n",
       "2018-01-30 14:09:00+00:00    0.000000\n",
       "2018-01-30 14:10:00+00:00         NaN\n",
       "2018-01-30 14:11:00+00:00    0.421500\n",
       "                               ...   \n",
       "2018-01-31 03:52:00+00:00         NaN\n",
       "2018-01-31 03:53:00+00:00    0.361200\n",
       "2018-01-31 03:54:00+00:00    0.344250\n",
       "2018-01-31 03:55:00+00:00         NaN\n",
       "2018-01-31 03:56:00+00:00    0.312075\n",
       "Freq: T, Name: text, Length: 830, dtype: float64"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# generating sentiment average\n",
    "sentiment = sentiment_score.apply(lambda x: x['compound'])\n",
    "sentiment_trump = sentiment[check_word_in_text('trump', tw_reply)]\\\n",
    ".resample('1 min').mean()\n",
    "sentiment_trump"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "e9002b61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(sentiment_trump.index.minute,\n",
    "        sentiment_trump,\n",
    "        color = 'green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "597b7cfc",
   "metadata": {},
   "source": [
    "## 3. Twitter networks\n",
    "- network analysis \n",
    "  - nodes\n",
    "    - source node: where the arrow starts\n",
    "    - target node: where the arrow edges\n",
    "  - edges or tie: specify the relationship between nodes\n",
    "- directed networks\n",
    "  - relationships are not mutual: edge only goes one way \n",
    "- Types of twitter network ties\n",
    "  - retweets\n",
    "  - quotes\n",
    "  - replies"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0e2947a",
   "metadata": {},
   "source": [
    "**Edge lists**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "8e376d7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<networkx.classes.digraph.DiGraph at 0x2249c644c40>"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create edge lists\n",
    "import networkx as nx\n",
    "\n",
    "# ... flatten and convert JSON\n",
    "G_rt = nx.from_pandas_edgelist(retweet,\n",
    "                              source = 'user-screen_name',\n",
    "                              target = 'retweeted_status-user-screen_name',\n",
    "                              create_using = nx.DiGraph())\n",
    "G_rt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "d1bf7fe6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create random layout positions\n",
    "pos = nx.random_layout(G_rt)\n",
    "\n",
    "# Create size list\n",
    "sizes = [x[1] for x in G_rt.degree()]\n",
    "\n",
    "# Draw the network\n",
    "nx.draw_networkx(G_rt, pos, \n",
    "    with_labels = False, \n",
    "    node_size = sizes,\n",
    "    width = 0.1, alpha = 0.7,\n",
    "    arrowsize = 2, linewidths = 0)\n",
    "\n",
    "# Turn axis off and show\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6ec99957",
   "metadata": {},
   "outputs": [],
   "source": [
    "nx.draw_networkx(G_rt)\n",
    "plt.axis('off')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7dbda8c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "size = [x[1] * 100 for x in T.degree()]\n",
    "nx.draw_networkx(T,\n",
    "                node_size = sizes,\n",
    "                with_labels = False,\n",
    "                alpha = 0.6,\n",
    "                width = 0.3)\n",
    "plt.axis('off')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6d83d1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# circular layout\n",
    "circle_pos = nx.circular_layout(T)\n",
    "nx.draw_networkx(T,\n",
    "                pos = circle_pos,\n",
    "                node_size = sizes,\n",
    "                with_labels = False,\n",
    "                alpha = 0.6,\n",
    "                width = 0.3)\n",
    "plt.axis('off')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "19b23a72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<networkx.classes.digraph.DiGraph at 0x2249c55d370>"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# importing a quoted network\n",
    "import networkx as nx\n",
    "\n",
    "# ... flatten and convert JSON\n",
    "G_quote = nx.from_pandas_edgelist(retweet,\n",
    "                              source = 'user-screen_name',\n",
    "                              target = 'quoted_status-user-screen_name',\n",
    "                              create_using = nx.DiGraph())\n",
    "G_quote"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "e4bdb728",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<networkx.classes.digraph.DiGraph at 0x2249aedff10>"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# importing a quoted network\n",
    "import networkx as nx\n",
    "\n",
    "# ... flatten and convert JSON\n",
    "G_reply = nx.from_pandas_edgelist(retweet,\n",
    "                              source = 'user-screen_name',\n",
    "                              target = 'in_reply_to_screen_name',\n",
    "                              create_using = nx.DiGraph())\n",
    "G_reply"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "id": "56d106cc",
   "metadata": {},
   "source": [
    "**Individual-level network metrics** \n",
    "- Centrality: measures of importance of a node in a network\n",
    "  > ![image.png](attachment:image.png)\n",
    "- degree centrality\n",
    "  - number of edges that are connected to node\n",
    "  - two types of degrees in a directed network\n",
    "    - in-degree-edge going into node\n",
    "    - out-degree-edge going out of a node\n",
    "- betweenness centrality\n",
    "  - how many shortest paths between two nodes pass through this node\n",
    "  - importance as a network broker\n",
    "- the ratio: reply-to-retweet ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "dcb0a8fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'MatthewJAld': 0.0004374453193350831,\n",
       " 'ScottPresler': 0.0,\n",
       " 'broussard_sr': 0.0004374453193350831,\n",
       " 'RealJack': 0.0,\n",
       " 'CLSTEPHANY': 0.0004374453193350831,\n",
       " 'UNITEDWEDREAM': 0.0,\n",
       " 'DAWNSTUTESMAN': 0.0004374453193350831,\n",
       " 'TomiLahren': 0.0,\n",
       " 'SCischk': 0.0004374453193350831,\n",
       " 'bceil': 0.0004374453193350831,\n",
       " 'glennbeck': 0.0,\n",
       " 'JimJestedm': 0.0004374453193350831,\n",
       " 'PressSec': 0.0,\n",
       " 'CaliConsrvative': 0.0004374453193350831,\n",
       " 'Fuctupmind': 0.0,\n",
       " 'oilaman': 0.0004374453193350831,\n",
       " 'SonofLiberty357': 0.0004374453193350831,\n",
       " 'kimmieguy': 0.0004374453193350831,\n",
       " 'KamVTV': 0.0,\n",
       " 'michaelsolakiew': 0.0004374453193350831,\n",
       " 'atroussov': 0.0004374453193350831,\n",
       " 'LizCrokin': 0.0,\n",
       " 'crose84': 0.0004374453193350831,\n",
       " 'JoyAnnReid': 0.0,\n",
       " 'colaresisle': 0.0008748906386701663,\n",
       " 'krassenstein': 0.0,\n",
       " 'thedreadedaw': 0.0017497812773403325,\n",
       " 'TheRickyDavila': 0.0,\n",
       " 'JamesTLockhart': 0.0004374453193350831,\n",
       " 'Public_Citizen': 0.0013123359580052493,\n",
       " 'davidpsdem': 0.0008748906386701663,\n",
       " 'laamigable21': 0.0008748906386701663,\n",
       " 'GayRepublicSwag': 0.0,\n",
       " 'likessailboats': 0.0004374453193350831,\n",
       " 'Shakestweetz': 0.0,\n",
       " 'buckpolitics': 0.0004374453193350831,\n",
       " 'WaffleSundays': 0.0004374453193350831,\n",
       " 'DorianSoudjian': 0.0004374453193350831,\n",
       " 'WhiteHouse': 0.0,\n",
       " 'FightingChase': 0.0004374453193350831,\n",
       " 'Cernovich': 0.0,\n",
       " 'BennyHCarroll': 0.0004374453193350831,\n",
       " 'annespo': 0.0008748906386701663,\n",
       " 'jmcconnell522': 0.0004374453193350831,\n",
       " 'StrangeLunaMari': 0.0004374453193350831,\n",
       " 'michelleking66': 0.0008748906386701663,\n",
       " 'EARTH3R': 0.0,\n",
       " 'rychemom': 0.0004374453193350831,\n",
       " 'moviebill52': 0.0004374453193350831,\n",
       " 'KatiePavlich': 0.0,\n",
       " 'sapmcdowell': 0.0008748906386701663,\n",
       " 'thehuffherd': 0.0004374453193350831,\n",
       " 'RealAlexJones': 0.0004374453193350831,\n",
       " 'aerochic65': 0.0004374453193350831,\n",
       " 'CassandraRules': 0.0,\n",
       " 'rick_maddox': 0.0004374453193350831,\n",
       " 'thebradfordfile': 0.0004374453193350831,\n",
       " 'Be17812369Laura': 0.0004374453193350831,\n",
       " 'pet1713': 0.0004374453193350831,\n",
       " 'CBSNews': 0.0,\n",
       " 'priceray': 0.0004374453193350831,\n",
       " 'FrankLuntz': 0.0,\n",
       " 'mccroreychris': 0.0008748906386701663,\n",
       " 'michellemalkin': 0.0,\n",
       " 'tammylynn1129': 0.0004374453193350831,\n",
       " 'GeorgetteGarci': 0.0004374453193350831,\n",
       " 'charliekirk11': 0.0,\n",
       " 'AnimeandMM4ever': 0.0004374453193350831,\n",
       " 'DLoesch': 0.0,\n",
       " 'richito81': 0.0004374453193350831,\n",
       " 'Stump4TrumpPAC': 0.0,\n",
       " 'ldcompston': 0.0004374453193350831,\n",
       " 'TyroneLengert': 0.0004374453193350831,\n",
       " 'TheMsDacia': 0.0004374453193350831,\n",
       " 'TeenVogue': 0.0,\n",
       " 'staggs1969': 0.0004374453193350831,\n",
       " 'gbeach2106': 0.0004374453193350831,\n",
       " 'toddstarnes': 0.0,\n",
       " 'vickitaytay17': 0.0004374453193350831,\n",
       " 'BennettJr89': 0.0004374453193350831,\n",
       " 'Patrici81767862': 0.0008748906386701663,\n",
       " 'EddieDonovan': 0.0004374453193350831,\n",
       " 'Liveit2fullest': 0.0004374453193350831,\n",
       " 'coachfoster15': 0.0004374453193350831,\n",
       " 'FoxNews': 0.0004374453193350831,\n",
       " 'irritatedwoman': 0.0004374453193350831,\n",
       " 'Uncle_Jimbo': 0.0,\n",
       " 'didit_doty': 0.0004374453193350831,\n",
       " 'RealKyleMorris': 0.0,\n",
       " 'VoseJim': 0.0004374453193350831,\n",
       " 'gerij9': 0.0004374453193350831,\n",
       " 'PPact': 0.0,\n",
       " 'fifty3percent': 0.0004374453193350831,\n",
       " 'slewis8353': 0.0004374453193350831,\n",
       " 'Pwn1sh3r_82': 0.0004374453193350831,\n",
       " 'EF517_V2': 0.0,\n",
       " 'smittyjr33': 0.0004374453193350831,\n",
       " 'AnnBeeman': 0.0004374453193350831,\n",
       " 'FoxBusiness': 0.0,\n",
       " 'e99c07ccfb97417': 0.0004374453193350831,\n",
       " 'Jonahhladycz': 0.0004374453193350831,\n",
       " 'LindaSuhler': 0.0,\n",
       " 'cococupcake29': 0.0004374453193350831,\n",
       " 'SaraCarterDC': 0.0,\n",
       " 'Andrea51544005': 0.0004374453193350831,\n",
       " 'MoveOn': 0.0,\n",
       " 'FitzDuffy': 0.0004374453193350831,\n",
       " 'RealSaavedra': 0.0,\n",
       " 'jimboazil': 0.0004374453193350831,\n",
       " 'PastorThomasT': 0.0004374453193350831,\n",
       " 'jsnive': 0.0004374453193350831,\n",
       " 'mcrysup': 0.0004374453193350831,\n",
       " 'RyanAFournier': 0.0004374453193350831,\n",
       " 'benrgilbert': 0.0004374453193350831,\n",
       " 'mehdirhasan': 0.0,\n",
       " 'GordonCrash': 0.0013123359580052493,\n",
       " 'GOP': 0.0,\n",
       " 'TravarL': 0.0004374453193350831,\n",
       " 'HootPhD': 0.0004374453193350831,\n",
       " 'guypbenson': 0.0004374453193350831,\n",
       " 'michaeldweiss': 0.0,\n",
       " 'unclee80': 0.0004374453193350831,\n",
       " 'carrieksada': 0.0,\n",
       " 'paris_2393': 0.0004374453193350831,\n",
       " 'Blueeyes2luv': 0.0004374453193350831,\n",
       " 'RussianBot35': 0.0004374453193350831,\n",
       " 'jlboone1': 0.0004374453193350831,\n",
       " 'BMalley10': 0.0004374453193350831,\n",
       " 'deedeelynn63': 0.0004374453193350831,\n",
       " 'JillDBartosz': 0.0004374453193350831,\n",
       " 'kujayhawksone66': 0.0004374453193350831,\n",
       " 'PROJEKT61': 0.0004374453193350831,\n",
       " 'KyleKulinski': 0.0,\n",
       " 'frame_2016': 0.0004374453193350831,\n",
       " 'Bear_hugzzz': 0.0004374453193350831,\n",
       " 'CaryFrazee': 0.0008748906386701663,\n",
       " 'Hippyplace': 0.0004374453193350831,\n",
       " 'kwilli1046': 0.0,\n",
       " 'GodEmperor1138': 0.0004374453193350831,\n",
       " 'joey_girardi': 0.0008748906386701663,\n",
       " 'CollinRugg': 0.0,\n",
       " 'arynkw': 0.0004374453193350831,\n",
       " 'ummmno21': 0.0,\n",
       " 'jdnpepsi': 0.0004374453193350831,\n",
       " 'hexogennotsugar': 0.0004374453193350831,\n",
       " 'piper_low': 0.0004374453193350831,\n",
       " 'B75434425': 0.0,\n",
       " 'EblingJr': 0.0004374453193350831,\n",
       " 'katrinarooker': 0.0004374453193350831,\n",
       " 'DonaldJTrumpJr': 0.0,\n",
       " 'LaurelT1': 0.0004374453193350831,\n",
       " 'OKIndian1': 0.0004374453193350831,\n",
       " 'ColumbiaBugle': 0.0,\n",
       " 'SherryWhy1': 0.0004374453193350831,\n",
       " 'JeSuisDog': 0.0004374453193350831,\n",
       " 'csinrainbow1': 0.0004374453193350831,\n",
       " 'ScottVa52467898': 0.0004374453193350831,\n",
       " 'ABrown05388111': 0.0004374453193350831,\n",
       " 'RicksOpinion': 0.0004374453193350831,\n",
       " 'IronStache': 0.0,\n",
       " 'ggbatlb': 0.0004374453193350831,\n",
       " 'couerfidele': 0.0008748906386701663,\n",
       " 'LorriStringer': 0.0004374453193350831,\n",
       " 'LFrady': 0.0004374453193350831,\n",
       " 'thecjpearson': 0.0,\n",
       " 'dwatson904': 0.0004374453193350831,\n",
       " 'MiMi4Kidz': 0.0004374453193350831,\n",
       " 'The_Trump_Train': 0.0,\n",
       " 'eyesonolive': 0.0013123359580052493,\n",
       " 'alabamamangreg': 0.0008748906386701663,\n",
       " 'AdamBaldwin': 0.0,\n",
       " 'Frankie1654': 0.0004374453193350831,\n",
       " 'votevets': 0.0,\n",
       " 'Hazeldaughter': 0.0004374453193350831,\n",
       " 'realdonsmith70': 0.0004374453193350831,\n",
       " 'HouseGOP': 0.0,\n",
       " 'Dixiegirl2448': 0.0004374453193350831,\n",
       " 'cristinalaila1': 0.0,\n",
       " 'debra_bonanno': 0.0017497812773403325,\n",
       " 'kbari12': 0.0,\n",
       " 'lucasgrindley': 0.0004374453193350831,\n",
       " 'DGComedy': 0.0,\n",
       " 'BestRDSP': 0.0004374453193350831,\n",
       " 'PrisonPlanet': 0.0,\n",
       " 'TomReed72363098': 0.0004374453193350831,\n",
       " 'Italians4Trump': 0.0004374453193350831,\n",
       " 'showlady102': 0.0008748906386701663,\n",
       " 'JeanneHamad': 0.0004374453193350831,\n",
       " 'jamesdnelson': 0.0004374453193350831,\n",
       " 'iyamjames': 0.0004374453193350831,\n",
       " 'ceceoo': 0.0008748906386701663,\n",
       " 'MinnPatriot': 0.0,\n",
       " 'RobertWoodham2': 0.0004374453193350831,\n",
       " 'Debrina122': 0.0004374453193350831,\n",
       " 'DonaldUS2016': 0.0004374453193350831,\n",
       " 'MarkDice': 0.0,\n",
       " 'up_viking': 0.0008748906386701663,\n",
       " 'Tombx7M': 0.0004374453193350831,\n",
       " 'bobbypick': 0.0004374453193350831,\n",
       " 'Texas_Trump': 0.0004374453193350831,\n",
       " 'RedheadYolanda': 0.0004374453193350831,\n",
       " 'stein0': 0.0004374453193350831,\n",
       " 'AndrewPapich': 0.0004374453193350831,\n",
       " 'aedaw9i': 0.0017497812773403325,\n",
       " 'hardball': 0.0004374453193350831,\n",
       " 'JFLombardi': 0.0004374453193350831,\n",
       " 'ChristiChat': 0.0004374453193350831,\n",
       " 'JohnFul38300013': 0.0004374453193350831,\n",
       " 'ems56rn': 0.0013123359580052493,\n",
       " 'AmericanMex067': 0.0,\n",
       " 'meliss_lazarte': 0.0004374453193350831,\n",
       " 'SenateGOP': 0.0,\n",
       " 'CEMorgenstern': 0.0004374453193350831,\n",
       " 'Handy_Ginger': 0.0004374453193350831,\n",
       " 'VoCommunism': 0.0004374453193350831,\n",
       " 'Scottforpa': 0.0,\n",
       " 'Donald4presiden': 0.0004374453193350831,\n",
       " 'McvayRiggans': 0.0004374453193350831,\n",
       " 'dnjma5': 0.0004374453193350831,\n",
       " 'ChrisFi19702048': 0.0004374453193350831,\n",
       " '2Run26': 0.0008748906386701663,\n",
       " 'TrumpingNow': 0.0008748906386701663,\n",
       " 'SecretarySonny': 0.0,\n",
       " 'usn112006': 0.0008748906386701663,\n",
       " 'Lynnmorrisdown1': 0.0004374453193350831,\n",
       " 'BigDaddyFatRat': 0.0004374453193350831,\n",
       " 'krengles': 0.0004374453193350831,\n",
       " 'K_Dawg60': 0.0004374453193350831,\n",
       " 'pnehlen': 0.0,\n",
       " 'hemumford': 0.0004374453193350831,\n",
       " 'KatherineWolfr2': 0.0004374453193350831,\n",
       " 'Gays4ChickFilA': 0.0008748906386701663,\n",
       " 'benshapiro': 0.0,\n",
       " 'Beverly99139999': 0.0004374453193350831,\n",
       " 'Lindamos': 0.0004374453193350831,\n",
       " '4everNeverTrump': 0.0,\n",
       " 'kristarobin71': 0.0004374453193350831,\n",
       " 'sjlev_lvgd': 0.0004374453193350831,\n",
       " 'BethNicoleBooks': 0.0004374453193350831,\n",
       " 'GustavVader1': 0.0004374453193350831,\n",
       " 'basskicker11': 0.0008748906386701663,\n",
       " 'astepp37': 0.0004374453193350831,\n",
       " 'Butterfly5564': 0.0013123359580052493,\n",
       " 'votolatino': 0.0004374453193350831,\n",
       " 'OliWilly': 0.0004374453193350831,\n",
       " 'ODL_5sosjrt1d': 0.0008748906386701663,\n",
       " 'Karengrisham1': 0.0004374453193350831,\n",
       " 'treizetrange': 0.0004374453193350831,\n",
       " '1065rth': 0.0004374453193350831,\n",
       " 'larryelder': 0.0,\n",
       " 'nancypr19': 0.0008748906386701663,\n",
       " 'stylishsatirist': 0.0004374453193350831,\n",
       " 'JordanSekulow': 0.0,\n",
       " 'jakeryan2112': 0.0004374453193350831,\n",
       " 'texasGSDgirl': 0.0013123359580052493,\n",
       " 'twiez07': 0.0013123359580052493,\n",
       " 'SpeakerRyan': 0.0,\n",
       " 'bchase7': 0.0004374453193350831,\n",
       " 'annmariemadrig1': 0.0004374453193350831,\n",
       " 'cindycrump14': 0.0004374453193350831,\n",
       " 'RadioFreeUnite': 0.0004374453193350831,\n",
       " 'StockMonsterVIP': 0.0,\n",
       " 'KarenDBgo': 0.0004374453193350831,\n",
       " 'KCalrdh': 0.0004374453193350831,\n",
       " 'tponews': 0.0,\n",
       " 'Rynarose': 0.0004374453193350831,\n",
       " 'rochellehume': 0.0004374453193350831,\n",
       " 'MDYankeefan1': 0.0004374453193350831,\n",
       " 'BartonForte': 0.0004374453193350831,\n",
       " 'Getaclue77': 0.0004374453193350831,\n",
       " 'angelaleedorel1': 0.0004374453193350831,\n",
       " 'junktion3': 0.0008748906386701663,\n",
       " 'nerak0331': 0.0004374453193350831,\n",
       " 'iamErickT': 0.0004374453193350831,\n",
       " 'DewsNewz': 0.0,\n",
       " 'DCarrafiello': 0.0004374453193350831,\n",
       " 'jackson5213': 0.0004374453193350831,\n",
       " 'SherrySwain': 0.0004374453193350831,\n",
       " 'Patrici69910518': 0.0004374453193350831,\n",
       " 'PeasandQuiet': 0.0004374453193350831,\n",
       " 'BorisEP': 0.0,\n",
       " 'veronica_eibell': 0.0004374453193350831,\n",
       " 'SiddonsDan': 0.0008748906386701663,\n",
       " 'Shez_a_Bitchx': 0.0004374453193350831,\n",
       " 'allaboutme4545': 0.0008748906386701663,\n",
       " 'edinssister': 0.0004374453193350831,\n",
       " 'Trumpfan1995': 0.0,\n",
       " 'gecaldwell': 0.0004374453193350831,\n",
       " 'MonicaCrowley': 0.0,\n",
       " 'jnob2030': 0.0004374453193350831,\n",
       " 'GetOnTRUMPTrain': 0.0004374453193350831,\n",
       " 'watersc944': 0.0004374453193350831,\n",
       " 'fidget5000': 0.0008748906386701663,\n",
       " 'The_Rumpus': 0.0004374453193350831,\n",
       " 'perfectsliders': 0.0004374453193350831,\n",
       " 'firebirdxx3': 0.0004374453193350831,\n",
       " 'NYQueens3': 0.0004374453193350831,\n",
       " 'Willmvg': 0.0004374453193350831,\n",
       " 'chicksonright': 0.0,\n",
       " 'DrDarrellCline': 0.0004374453193350831,\n",
       " 'Slotsqueen3': 0.0004374453193350831,\n",
       " 'Shareblue': 0.0,\n",
       " 'SteveJa39296543': 0.0017497812773403325,\n",
       " 'mcjagreb': 0.0008748906386701663,\n",
       " 'Veteran4Trump': 0.0,\n",
       " 'ZaneCress': 0.0004374453193350831,\n",
       " 'WillaoWoman': 0.0004374453193350831,\n",
       " 'women_4Trump': 0.0004374453193350831,\n",
       " 'esaagar': 0.0,\n",
       " 'TTysonToni1': 0.0004374453193350831,\n",
       " 'StaceyJeffries9': 0.0008748906386701663,\n",
       " 'KarlaMeggison': 0.0004374453193350831,\n",
       " 'rachelwise06': 0.0004374453193350831,\n",
       " 'sisterwash65': 0.0008748906386701663,\n",
       " 'ThomasMHern': 0.0,\n",
       " 'spirit_sue': 0.0004374453193350831,\n",
       " 'TheMissionalist': 0.0004374453193350831,\n",
       " 'DomesticEnginee': 0.0004374453193350831,\n",
       " 'Adamo55f': 0.0008748906386701663,\n",
       " 'Jrzladyvjs': 0.0008748906386701663,\n",
       " 'marthaleewalter': 0.0004374453193350831,\n",
       " 'Tesscatbird': 0.0004374453193350831,\n",
       " 'MurphyAA': 0.0004374453193350831,\n",
       " 'ljblack6': 0.0008748906386701663,\n",
       " 'drrobin10': 0.0004374453193350831,\n",
       " 'DwayneHinton8': 0.0004374453193350831,\n",
       " 'Marinelli28': 0.0004374453193350831,\n",
       " 'RozemieDefrancq': 0.0004374453193350831,\n",
       " 'HuffPost': 0.0,\n",
       " 'lokimaros': 0.0004374453193350831,\n",
       " 'AcidRayneStorm': 0.0004374453193350831,\n",
       " 'Salted2': 0.0004374453193350831,\n",
       " 'crazybirdlady53': 0.0004374453193350831,\n",
       " 'kitten0626': 0.0004374453193350831,\n",
       " 'ohiotrumpgirl': 0.0004374453193350831,\n",
       " 'KarenWillestoft': 0.0004374453193350831,\n",
       " 'rfscottga': 0.0013123359580052493,\n",
       " 'tkinder': 0.0,\n",
       " 'bellabellariley': 0.0013123359580052493,\n",
       " 'TimEDirr1': 0.0004374453193350831,\n",
       " 'sandandsea2017': 0.0004374453193350831,\n",
       " 'FedupWithSwamp': 0.0,\n",
       " 'HipHopHead_347': 0.0004374453193350831,\n",
       " 'Kathleen2157': 0.0004374453193350831,\n",
       " 'SierraClub': 0.0,\n",
       " 'DanRidgway3': 0.0004374453193350831,\n",
       " 'beckynashville': 0.0004374453193350831,\n",
       " 'pghbeba': 0.0004374453193350831,\n",
       " 'sallykohn': 0.0,\n",
       " 'RosemarieKNorr': 0.0004374453193350831,\n",
       " 'sisp101': 0.0008748906386701663,\n",
       " 'ArmieFox714': 0.0004374453193350831,\n",
       " 'GaryShapiro': 0.0004374453193350831,\n",
       " 'AddamLanza': 0.0013123359580052493,\n",
       " 'AveryChasten': 0.0008748906386701663,\n",
       " 'christymatson64': 0.0,\n",
       " 'Innrdreams': 0.0008748906386701663,\n",
       " 'NBCNews': 0.0,\n",
       " 'lazer_rubin': 0.0004374453193350831,\n",
       " 'b1gtyme24': 0.0004374453193350831,\n",
       " 'calljm': 0.0004374453193350831,\n",
       " 'ArnFknJackson': 0.0004374453193350831,\n",
       " 'johncardillo': 0.0004374453193350831,\n",
       " 'iloveutothemoon': 0.0008748906386701663,\n",
       " 'tricia_fierro': 0.0008748906386701663,\n",
       " 'LisaMarieMagin': 0.0004374453193350831,\n",
       " 'DanaTurner63': 0.0004374453193350831,\n",
       " 'IndivisibleDoCo': 0.0004374453193350831,\n",
       " 'NBCPolitics': 0.0004374453193350831,\n",
       " 'NotBadFrog': 0.0004374453193350831,\n",
       " 'RealMattCouch': 0.0,\n",
       " 'airwolf1967': 0.0004374453193350831,\n",
       " 'juliascribbling': 0.0004374453193350831,\n",
       " 'rodulio69': 0.0004374453193350831,\n",
       " 'RandyXVll': 0.0004374453193350831,\n",
       " 'captnavarre': 0.0008748906386701663,\n",
       " 'TyHarris24': 0.0004374453193350831,\n",
       " 'burkhardt_pat': 0.0004374453193350831,\n",
       " 'DeJonXIII': 0.0004374453193350831,\n",
       " 'cindyrburk': 0.0004374453193350831,\n",
       " 'GreggDiPaolo': 0.0004374453193350831,\n",
       " 'killabeas69': 0.0004374453193350831,\n",
       " 'sagejoylove': 0.0004374453193350831,\n",
       " 'libturdflusher': 0.0004374453193350831,\n",
       " 'PoliticalShort': 0.0,\n",
       " 'SmartyJones1': 0.0004374453193350831,\n",
       " 'Susan40370948': 0.0008748906386701663,\n",
       " 'RefuteFrMartin': 0.0004374453193350831,\n",
       " 'FAIRImmigration': 0.0,\n",
       " 'Only1Rainey': 0.0004374453193350831,\n",
       " 'ldobbs1234': 0.0008748906386701663,\n",
       " 'gkilti': 0.0008748906386701663,\n",
       " 'timps15': 0.0004374453193350831,\n",
       " 'Roberts5Don': 0.0008748906386701663,\n",
       " 'DougDlouhy': 0.0004374453193350831,\n",
       " 'Hoosiers1986': 0.0004374453193350831,\n",
       " 'notadotard': 0.0004374453193350831,\n",
       " 'LusiakChris': 0.0004374453193350831,\n",
       " 'FullFrontalSamB': 0.0,\n",
       " 'TorandHope': 0.0004374453193350831,\n",
       " 'LetsSeeThatMEMO': 0.0004374453193350831,\n",
       " 'pig4801kj': 0.0004374453193350831,\n",
       " 'Faihadcomcastn1': 0.0004374453193350831,\n",
       " 'MlmoutonMy': 0.0004374453193350831,\n",
       " 'JGonza28': 0.0017497812773403325,\n",
       " 'Montyferbert': 0.0004374453193350831,\n",
       " 'gadsdendtom': 0.0004374453193350831,\n",
       " 'zhalli1': 0.0004374453193350831,\n",
       " 'bryanbehar': 0.0,\n",
       " 'Vielle_Beignet': 0.0008748906386701663,\n",
       " 'MAGARoseTaylor': 0.0,\n",
       " 'PrimaryMcCain': 0.0004374453193350831,\n",
       " 'elitmik': 0.0004374453193350831,\n",
       " 'kennethmallor16': 0.0004374453193350831,\n",
       " 'PinkBelgium': 0.0008748906386701663,\n",
       " 'ericashaina': 0.0004374453193350831,\n",
       " 'BJCollins131': 0.0008748906386701663,\n",
       " 'CiAnDy3': 0.0017497812773403325,\n",
       " 'JudgeJeanine': 0.0,\n",
       " 'warren_melanie': 0.0004374453193350831,\n",
       " 'Pink_About_it': 0.0,\n",
       " 'ForeverKingLaw': 0.0004374453193350831,\n",
       " 'CypherFaerie': 0.0004374453193350831,\n",
       " 'CCookie18': 0.0004374453193350831,\n",
       " 'japerez53': 0.0004374453193350831,\n",
       " 'pecriel': 0.0004374453193350831,\n",
       " 'SaintBakhita': 0.0004374453193350831,\n",
       " 'TheosaursRex': 0.0004374453193350831,\n",
       " 'cobiejensen': 0.0004374453193350831,\n",
       " 'patsphotos': 0.0004374453193350831,\n",
       " 'LSURay': 0.0004374453193350831,\n",
       " 'JasonMillerinDC': 0.0,\n",
       " 'gatrbait': 0.0004374453193350831,\n",
       " 'ldubindubc': 0.0008748906386701663,\n",
       " 'papago1996': 0.0004374453193350831,\n",
       " 'Deplorablesss': 0.0004374453193350831,\n",
       " 'Hendergun_Ninja': 0.0004374453193350831,\n",
       " 'RealJTP': 0.0004374453193350831,\n",
       " 'RaiderMatt5204': 0.0004374453193350831,\n",
       " 'ImDrToxic': 0.0004374453193350831,\n",
       " 'UkraineBlues': 0.0004374453193350831,\n",
       " 'NIVIsa4031': 0.0004374453193350831,\n",
       " 'irishshopgirl1': 0.0004374453193350831,\n",
       " 'SuziWillWin': 0.0004374453193350831,\n",
       " 'dixiefortrump': 0.0004374453193350831,\n",
       " 'centexlady': 0.0004374453193350831,\n",
       " 'IQ_PoliSci': 0.0004374453193350831,\n",
       " 'KQ_Legan': 0.0004374453193350831,\n",
       " 'rickhowell30': 0.0004374453193350831,\n",
       " 'dglasscock': 0.0004374453193350831,\n",
       " 'maizie45': 0.0004374453193350831,\n",
       " 'DrFMorato': 0.0004374453193350831,\n",
       " 'LeahR77': 0.0,\n",
       " 'gailtalk': 0.0008748906386701663,\n",
       " 'SoCal4Trump': 0.0,\n",
       " 'Brilicka16': 0.0004374453193350831,\n",
       " 'KassyDillon': 0.0,\n",
       " 'Beemer518': 0.0004374453193350831,\n",
       " 'LukeMAGA1': 0.0,\n",
       " 'cenciaden': 0.0004374453193350831,\n",
       " 'Jillibean557': 0.0,\n",
       " 'fsjenner': 0.0004374453193350831,\n",
       " 'nancyhayeswolff': 0.0004374453193350831,\n",
       " 'Kita71': 0.0008748906386701663,\n",
       " 'thinkprogress': 0.0,\n",
       " 'pjpellis17': 0.0004374453193350831,\n",
       " 'kelliwardaz': 0.0,\n",
       " 'SuperFanBrad': 0.0004374453193350831,\n",
       " 'Timaay': 0.0004374453193350831,\n",
       " 'MonaSalama_': 0.0,\n",
       " 'SCRUB58': 0.0004374453193350831,\n",
       " 'steph93065': 0.0,\n",
       " 'oldgeekgal': 0.0008748906386701663,\n",
       " 'mrctv': 0.0,\n",
       " 'AuroraBee20': 0.0004374453193350831,\n",
       " 'nljac000': 0.0021872265966754157,\n",
       " 'bk2sq1': 0.0013123359580052493,\n",
       " 'UghToHillary': 0.0004374453193350831,\n",
       " 'KatieSimmons6': 0.0004374453193350831,\n",
       " 'redostoneage': 0.0013123359580052493,\n",
       " 'codyest92': 0.0004374453193350831,\n",
       " 'RoniSeale': 0.0008748906386701663,\n",
       " 'Mother0fAllBomb': 0.0004374453193350831,\n",
       " 'Labas81': 0.0004374453193350831,\n",
       " 'AmyMek': 0.0,\n",
       " 'AlfordJp': 0.0004374453193350831,\n",
       " 'RedWaveRising': 0.0008748906386701663,\n",
       " 'FittedHickory': 0.0004374453193350831,\n",
       " 'borders_carol': 0.0004374453193350831,\n",
       " 'OsteoMatthew': 0.0004374453193350831,\n",
       " 'resterkat57': 0.0008748906386701663,\n",
       " 'CzarNicholasXXV': 0.0004374453193350831,\n",
       " 'FaithVanGilder': 0.0004374453193350831,\n",
       " 'theriot_chad': 0.0004374453193350831,\n",
       " 'joannabalesca': 0.0004374453193350831,\n",
       " 'JustfreeJools': 0.0,\n",
       " 'BostonDaveBU': 0.0004374453193350831,\n",
       " 'mskaahn': 0.0008748906386701663,\n",
       " 'westld': 0.0004374453193350831,\n",
       " 'southernpearle': 0.0004374453193350831,\n",
       " 'WomenforTrump': 0.0,\n",
       " 'larryhicks21971': 0.0004374453193350831,\n",
       " 'GaleSanderss': 0.0004374453193350831,\n",
       " 'JonnyBoGermany': 0.0008748906386701663,\n",
       " 'glebbern': 0.0004374453193350831,\n",
       " 'michael__1776': 0.0,\n",
       " 'tktrang55': 0.0004374453193350831,\n",
       " '4AllSoulKind': 0.0004374453193350831,\n",
       " 'MIGOP': 0.0,\n",
       " 'fedupppp': 0.0004374453193350831,\n",
       " 'aburgher': 0.0004374453193350831,\n",
       " 'Motta508': 0.0004374453193350831,\n",
       " 'YoungDems4Trump': 0.0,\n",
       " 'Navyvet270': 0.0004374453193350831,\n",
       " 'ChrisJohn191': 0.0004374453193350831,\n",
       " 'CallMeMaci': 0.0004374453193350831,\n",
       " 'kima_jones': 0.0,\n",
       " 'tluvgolf': 0.0004374453193350831,\n",
       " 'venfarns': 0.0004374453193350831,\n",
       " 'StephanKetteri3': 0.0004374453193350831,\n",
       " 'CosmicRabbit42': 0.0008748906386701663,\n",
       " 'Dsandz15': 0.0004374453193350831,\n",
       " 'MichiganDems': 0.0,\n",
       " 'ZN_007': 0.0008748906386701663,\n",
       " 'Burg8Ai': 0.0004374453193350831,\n",
       " 'ForAmerica': 0.0,\n",
       " 'AdvertisingLaw': 0.0004374453193350831,\n",
       " 'LukasOzpaker': 0.0004374453193350831,\n",
       " 'Deplorable1st': 0.0008748906386701663,\n",
       " 'labuda_robert': 0.0,\n",
       " 'LoneStar_Dad': 0.0008748906386701663,\n",
       " 'Ladderman421': 0.0004374453193350831,\n",
       " 'lfangonilo': 0.0004374453193350831,\n",
       " '_Josh_Holub_': 0.0004374453193350831,\n",
       " 'leach_susan': 0.0004374453193350831,\n",
       " 'GregHester17': 0.0004374453193350831,\n",
       " 'atticus141': 0.0004374453193350831,\n",
       " 'KimStrassel': 0.0,\n",
       " 'emilykholcomb': 0.0013123359580052493,\n",
       " 'carlin_brandon': 0.0004374453193350831,\n",
       " 'Liverpotlian': 0.0004374453193350831,\n",
       " 'david1952_david': 0.0008748906386701663,\n",
       " 'nypattif': 0.0004374453193350831,\n",
       " 'shansmig': 0.0004374453193350831,\n",
       " 'eduardolatorre': 0.0004374453193350831,\n",
       " 'Dorunda': 0.0004374453193350831,\n",
       " 'adivaat50ish': 0.0004374453193350831,\n",
       " 'FMBRedemption': 0.0008748906386701663,\n",
       " 'LoConservative': 0.0,\n",
       " 'HopeandDream4': 0.0004374453193350831,\n",
       " 'KathySamira': 0.0004374453193350831,\n",
       " 'RicoColon1': 0.0008748906386701663,\n",
       " 'sdb986': 0.0004374453193350831,\n",
       " 'rocgreco': 0.0004374453193350831,\n",
       " 'bubbabumpkin': 0.0004374453193350831,\n",
       " 'Hiking586': 0.0004374453193350831,\n",
       " 'sasser1980': 0.0004374453193350831,\n",
       " 'grayson_tm': 0.0004374453193350831,\n",
       " 'SOLDHTRENDY8': 0.0008748906386701663,\n",
       " 'Franklin_Graham': 0.0,\n",
       " 'sullysmith1141': 0.0004374453193350831,\n",
       " 'RedNationRising': 0.0,\n",
       " 'TrumpsTriumph': 0.0004374453193350831,\n",
       " 'john_abrahamson': 0.0008748906386701663,\n",
       " 'Rockprincess818': 0.0,\n",
       " 'everyhumanknows': 0.0004374453193350831,\n",
       " 'JamieM89403481': 0.0004374453193350831,\n",
       " 'n3xtunes': 0.0004374453193350831,\n",
       " 'MBonifacio2': 0.0004374453193350831,\n",
       " 'NYR30Fan': 0.0004374453193350831,\n",
       " 'PennsylvaniaRed': 0.0008748906386701663,\n",
       " 'WashTimes': 0.0,\n",
       " 'Karen_Becker_Go': 0.0004374453193350831,\n",
       " 'caitie1877': 0.0017497812773403325,\n",
       " 'Esthermsmithart': 0.0004374453193350831,\n",
       " 'CarolynSteger': 0.0017497812773403325,\n",
       " 'navy100': 0.0004374453193350831,\n",
       " 'txmoni7_lopez': 0.0004374453193350831,\n",
       " 'PamelaFalk': 0.0004374453193350831,\n",
       " 'AlexMellott': 0.0004374453193350831,\n",
       " 'framfred1': 0.0004374453193350831,\n",
       " 'toxic11': 0.0004374453193350831,\n",
       " 'cleanh2oaction': 0.0004374453193350831,\n",
       " 'PublicHealth': 0.0,\n",
       " 'LaurLaur_54': 0.0004374453193350831,\n",
       " 'Lauradeanneh': 0.0008748906386701663,\n",
       " 'swingleft': 0.0,\n",
       " 'whiterav': 0.0004374453193350831,\n",
       " 'SASHATAZLEA': 0.0004374453193350831,\n",
       " 'KatWahamaa': 0.0008748906386701663,\n",
       " 'CountisL': 0.0004374453193350831,\n",
       " 'Larry11704612': 0.0004374453193350831,\n",
       " 'jcarlson1964': 0.0004374453193350831,\n",
       " 'V_robigg': 0.0013123359580052493,\n",
       " 'pastorjohnb7': 0.0008748906386701663,\n",
       " 'marcie4789': 0.0004374453193350831,\n",
       " 'peacefulevryday': 0.0004374453193350831,\n",
       " 'justAphaze2': 0.0004374453193350831,\n",
       " 'AmericanHotLips': 0.0,\n",
       " 'consmover': 0.0008748906386701663,\n",
       " 'Bookchic56': 0.0004374453193350831,\n",
       " 'TinaDupuy': 0.0,\n",
       " '_Bourne_Flyy': 0.0004374453193350831,\n",
       " 'ClaraHoton': 0.0008748906386701663,\n",
       " 'rabiasquared': 0.0,\n",
       " 'SLYR123': 0.0004374453193350831,\n",
       " 'stillcricket': 0.0004374453193350831,\n",
       " 'Its_josh98': 0.0004374453193350831,\n",
       " 'sweetbreng': 0.0004374453193350831,\n",
       " 'MikeBaaden': 0.0004374453193350831,\n",
       " 'nflp88': 0.0004374453193350831,\n",
       " 'razztaz2016': 0.0004374453193350831,\n",
       " 'Pperezz21': 0.0004374453193350831,\n",
       " 'TheGhostImpala': 0.0004374453193350831,\n",
       " 'ColleenPatrick': 0.0004374453193350831,\n",
       " 'tinkle396': 0.0004374453193350831,\n",
       " 'Santa02Fe': 0.0004374453193350831,\n",
       " 'hookerryan': 0.0004374453193350831,\n",
       " 'Mightymouth5413': 0.0004374453193350831,\n",
       " 'RightWingAngel': 0.0,\n",
       " 'STrimel': 0.0008748906386701663,\n",
       " 'samswey': 0.0,\n",
       " 'kaybell17': 0.0004374453193350831,\n",
       " 'peanut29e17': 0.0004374453193350831,\n",
       " 'OscarSignus': 0.0004374453193350831,\n",
       " 'heresyoursighn': 0.0008748906386701663,\n",
       " 'lisastewart59': 0.0004374453193350831,\n",
       " 'B_Unique_4_Him': 0.0004374453193350831,\n",
       " 'yellowdog625': 0.0004374453193350831,\n",
       " 'ChrisVanHollen': 0.0,\n",
       " 'gop_rules': 0.0004374453193350831,\n",
       " 'mandyjones445': 0.0004374453193350831,\n",
       " 'souldier_': 0.0004374453193350831,\n",
       " 'AnnDevlin14': 0.0004374453193350831,\n",
       " 'VoteIndpndt': 0.0008748906386701663,\n",
       " 'Heart4Missions': 0.0004374453193350831,\n",
       " 'OhioNavyVet': 0.0004374453193350831,\n",
       " 'WEdwarda': 0.0004374453193350831,\n",
       " 'SiochanaPMC': 0.0004374453193350831,\n",
       " 'puppy550': 0.0004374453193350831,\n",
       " 'talesofaSAHM': 0.0004374453193350831,\n",
       " 'chuxugo': 0.0004374453193350831,\n",
       " 'WhosGoneGalt': 0.0008748906386701663,\n",
       " 'REALtrumpbureau': 0.0,\n",
       " 'Brado_84': 0.0004374453193350831,\n",
       " 'vwk7': 0.0004374453193350831,\n",
       " 'formerOregonian': 0.0004374453193350831,\n",
       " 'RonaldCarbone': 0.0004374453193350831,\n",
       " 'donttread10': 0.0004374453193350831,\n",
       " 'amras': 0.0008748906386701663,\n",
       " 'Ozato2000': 0.0004374453193350831,\n",
       " 'JaneNoga': 0.0004374453193350831,\n",
       " 'nicolee_is_boss': 0.0004374453193350831,\n",
       " 'philhuie': 0.0004374453193350831,\n",
       " 'deplorabletx71': 0.0004374453193350831,\n",
       " 't_a_n_a_i_i_2': 0.0004374453193350831,\n",
       " 'USAniFarm2016': 0.0004374453193350831,\n",
       " 'TheRealMaddog58': 0.0004374453193350831,\n",
       " 'Kimberlyolson99': 0.0004374453193350831,\n",
       " 'AndrewSherrod8': 0.0004374453193350831,\n",
       " 'MomDeplorable': 0.0004374453193350831,\n",
       " 'gilluna8': 0.0004374453193350831,\n",
       " 'B_Raw14': 0.0004374453193350831,\n",
       " 'Jimenez415': 0.0004374453193350831,\n",
       " 'USATODAY': 0.0,\n",
       " 'annoyed_getting': 0.0004374453193350831,\n",
       " 'Kypattycakes': 0.0004374453193350831,\n",
       " 'LoneEagal21': 0.0004374453193350831,\n",
       " 'CherDuncombe1': 0.0004374453193350831,\n",
       " '1776tamara': 0.0008748906386701663,\n",
       " 'EscapetheGrid': 0.0004374453193350831,\n",
       " 'Myapple05Lisa': 0.0004374453193350831,\n",
       " 'ToniKalHan': 0.0004374453193350831,\n",
       " 'Trumplar': 0.0004374453193350831,\n",
       " 'efareys2': 0.0004374453193350831,\n",
       " 'C9_kas10': 0.0008748906386701663,\n",
       " 'TiffanyAlaban': 0.0004374453193350831,\n",
       " 'tamaraleighllc': 0.0,\n",
       " 'noraconnor89': 0.0004374453193350831,\n",
       " 'GoTrumpFL': 0.0,\n",
       " 'newtgingrich': 0.0,\n",
       " 'organic2016': 0.0008748906386701663,\n",
       " 'Trumperland': 0.0,\n",
       " 'wehking_pamela': 0.0004374453193350831,\n",
       " 'spurger_m': 0.0004374453193350831,\n",
       " '1Hammer': 0.0004374453193350831,\n",
       " 'paphotog': 0.0008748906386701663,\n",
       " 'TangledTight': 0.0008748906386701663,\n",
       " 'madcat44': 0.0004374453193350831,\n",
       " 'JohnHeide2': 0.0004374453193350831,\n",
       " 'redreader5346': 0.0004374453193350831,\n",
       " 'CarrieFromPI': 0.0004374453193350831,\n",
       " 'maxsplace': 0.0004374453193350831,\n",
       " 'MsMaxwell6': 0.0,\n",
       " 'SanHowHintz5': 0.0004374453193350831,\n",
       " 'Tikal217': 0.0004374453193350831,\n",
       " 'RealNamelesSix5': 0.0004374453193350831,\n",
       " 'STEPHMHAMILL': 0.0,\n",
       " 'DaBubbaG': 0.0004374453193350831,\n",
       " 'CDFREEIII': 0.0004374453193350831,\n",
       " 'courageousgirl2': 0.0004374453193350831,\n",
       " 'MikeLevinCA': 0.0,\n",
       " 'Unbound_Beast': 0.0004374453193350831,\n",
       " 'jeanbadgett63': 0.0004374453193350831,\n",
       " 'ValTheeGal': 0.0004374453193350831,\n",
       " 'TfUvea': 0.0004374453193350831,\n",
       " 'JoeyMagana': 0.0004374453193350831,\n",
       " 'dknott409': 0.0013123359580052493,\n",
       " 'SecureAmerica': 0.0,\n",
       " 'jofh5': 0.0004374453193350831,\n",
       " 'dango1103': 0.0013123359580052493,\n",
       " 'jeffpendley': 0.0,\n",
       " 'HootHootBerns': 0.0004374453193350831,\n",
       " 'Susan_Walberg': 0.0004374453193350831,\n",
       " 'ChadChaderton': 0.0004374453193350831,\n",
       " 'EmJayHix': 0.0004374453193350831,\n",
       " 'uliw315': 0.0004374453193350831,\n",
       " 'anyalovesgod': 0.0008748906386701663,\n",
       " 'DCjusticeseeker': 0.0,\n",
       " 'TeresanMS': 0.0008748906386701663,\n",
       " 'twilight2000': 0.0004374453193350831,\n",
       " 'MAGATRUMPYEAR2': 0.0013123359580052493,\n",
       " 'michaeljknowles': 0.0,\n",
       " 'Runningbear42': 0.0004374453193350831,\n",
       " 'obpair': 0.0004374453193350831,\n",
       " 'STLBluesBash': 0.0004374453193350831,\n",
       " 'bkindivisible': 0.0008748906386701663,\n",
       " 'UnitedCitizen01': 0.0004374453193350831,\n",
       " 'SenateRPC': 0.0004374453193350831,\n",
       " 'ryanflesher314': 0.0004374453193350831,\n",
       " 'OldSargeUSAF': 0.0008748906386701663,\n",
       " 'KenSanDiego': 0.0004374453193350831,\n",
       " 'CaroleAlbers': 0.0004374453193350831,\n",
       " 'freewillyiamson': 0.0004374453193350831,\n",
       " 'RepStevenSmith': 0.0,\n",
       " 'theshex': 0.0004374453193350831,\n",
       " 'michaelfromolg': 0.0008748906386701663,\n",
       " 'ProChoiceKills': 0.0013123359580052493,\n",
       " 'AjasutherlandM': 0.0004374453193350831,\n",
       " 'therealopman': 0.0004374453193350831,\n",
       " 'nicole_insley': 0.0008748906386701663,\n",
       " 'DgThejudge54': 0.0008748906386701663,\n",
       " 'amb_pacifica': 0.0004374453193350831,\n",
       " 'chickenchick123': 0.0004374453193350831,\n",
       " 'bomiksu': 0.0008748906386701663,\n",
       " 'indyhawkins': 0.0,\n",
       " 'c5hardtop1999': 0.0017497812773403325,\n",
       " 'mistyblue20109': 0.0004374453193350831,\n",
       " 'jennybethm': 0.0,\n",
       " 'WhiteHatGuy': 0.0008748906386701663,\n",
       " 'hogangidley45': 0.0,\n",
       " 'princesssofpwr': 0.0017497812773403325,\n",
       " 'richard_77777': 0.0004374453193350831,\n",
       " 'WhtWudJacksonDo': 0.0004374453193350831,\n",
       " 'MichelleMaxwell': 0.0004374453193350831,\n",
       " 'CyndiRocks1': 0.0008748906386701663,\n",
       " 'DrBev4': 0.0004374453193350831,\n",
       " 'RhettCaron': 0.0004374453193350831,\n",
       " 'bighead_buddy': 0.0013123359580052493,\n",
       " 'JohnAMiceli': 0.0,\n",
       " 'rob_radams20': 0.0008748906386701663,\n",
       " 'icimarron': 0.0004374453193350831,\n",
       " 'blackhat57': 0.0004374453193350831,\n",
       " 'mariadestrella': 0.0004374453193350831,\n",
       " 'mms5048': 0.0008748906386701663,\n",
       " 'BrazeeCarol': 0.0004374453193350831,\n",
       " 'Teakindles': 0.0004374453193350831,\n",
       " 'AaronCo08056067': 0.0004374453193350831,\n",
       " 'suohuu': 0.0004374453193350831,\n",
       " 'BobBoobka45': 0.0008748906386701663,\n",
       " 'HouseAppropsGOP': 0.0,\n",
       " 'Seattle1227': 0.0008748906386701663,\n",
       " 'MichaelDelauzon': 0.0008748906386701663,\n",
       " 'kathiaaramos': 0.0004374453193350831,\n",
       " 'los7rayos': 0.0004374453193350831,\n",
       " 'collm57': 0.0004374453193350831,\n",
       " 'LarryBauld': 0.0004374453193350831,\n",
       " 'CoCoinBonita': 0.0004374453193350831,\n",
       " 'PolitixGal': 0.0,\n",
       " 'Guiller92839869': 0.0008748906386701663,\n",
       " 'sampotter595': 0.0004374453193350831,\n",
       " 'deenie7940': 0.0004374453193350831,\n",
       " 'jakoo54': 0.0004374453193350831,\n",
       " 'MaggioMichelle': 0.0008748906386701663,\n",
       " 'LOV_MotherEarth': 0.0008748906386701663,\n",
       " 'EB99439852': 0.0004374453193350831,\n",
       " 'realPolitiDiva': 0.0,\n",
       " 'MbmpPB7': 0.0004374453193350831,\n",
       " 'MyPlace4U': 0.0013123359580052493,\n",
       " 'ChrysTrrs': 0.0004374453193350831,\n",
       " 'islandmafia138': 0.0017497812773403325,\n",
       " 'KazeSkyz': 0.0,\n",
       " 'lalornza': 0.0004374453193350831,\n",
       " 'Epanastatis04': 0.0004374453193350831,\n",
       " 'laurabennawy': 0.0004374453193350831,\n",
       " 'sarah_tabasco': 0.0004374453193350831,\n",
       " 'papichuloeu': 0.0004374453193350831,\n",
       " 'oJibboB80': 0.0004374453193350831,\n",
       " 'junesfox34': 0.0004374453193350831,\n",
       " 'createtruespace': 0.0004374453193350831,\n",
       " 'Nshikaka': 0.0004374453193350831,\n",
       " 'liviapolise': 0.0008748906386701663,\n",
       " 'bannerite': 0.0004374453193350831,\n",
       " 'museisluse': 0.0004374453193350831,\n",
       " 'KyGIRLinTENN': 0.0004374453193350831,\n",
       " 'stephanmetal': 0.0004374453193350831,\n",
       " 'Dee601': 0.0008748906386701663,\n",
       " 'TheOpulentAmish': 0.0004374453193350831,\n",
       " 'PolitiBunny': 0.0,\n",
       " 'bandit301': 0.0004374453193350831,\n",
       " 'cyclamineae': 0.0004374453193350831,\n",
       " 'frankgrubar': 0.0004374453193350831,\n",
       " 'caligurll17': 0.0008748906386701663,\n",
       " '54Doggie': 0.0004374453193350831,\n",
       " 'AmerPatriot1': 0.0,\n",
       " 'TGleitman': 0.0004374453193350831,\n",
       " 'staplens': 0.0004374453193350831,\n",
       " 'AlbinaLvutina': 0.0004374453193350831,\n",
       " 'cnni': 0.0,\n",
       " 'mindybrooke_': 0.0004374453193350831,\n",
       " 'TheAtomicRaygun': 0.0004374453193350831,\n",
       " 'Everloves': 0.0004374453193350831,\n",
       " 'GaryLeeThrasher': 0.0008748906386701663,\n",
       " '0516_864': 0.0004374453193350831,\n",
       " 'LorettaBeasley9': 0.0004374453193350831,\n",
       " 'HolyCow18613': 0.0004374453193350831,\n",
       " 'Call_Me_Dutch': 0.0,\n",
       " 'electra_woman': 0.0004374453193350831,\n",
       " 'sujinhammond': 0.0004374453193350831,\n",
       " 'LaciWilliams10': 0.0004374453193350831,\n",
       " 'jkc120': 0.0004374453193350831,\n",
       " 'suzanb1776': 0.0008748906386701663,\n",
       " 'JanineLynette': 0.0,\n",
       " '_BlairEllis': 0.0004374453193350831,\n",
       " 'MoGon09': 0.0004374453193350831,\n",
       " 'LizzyKat00': 0.0004374453193350831,\n",
       " 'TrumpSuperPAC': 0.0,\n",
       " 'CesarCCardenas': 0.0008748906386701663,\n",
       " 'ForTrump': 0.0,\n",
       " 'donnaliebers': 0.0004374453193350831,\n",
       " 'jayoung1892': 0.0008748906386701663,\n",
       " 'jennifervranes1': 0.0004374453193350831,\n",
       " 'AmTactical556': 0.0004374453193350831,\n",
       " 'CynthiaMN5': 0.0008748906386701663,\n",
       " 'GakeaneKeane': 0.0004374453193350831,\n",
       " 'dotpark': 0.0004374453193350831,\n",
       " 'jenroseht': 0.0004374453193350831,\n",
       " 'JCoudright': 0.0004374453193350831,\n",
       " 'ImNoSaint1': 0.0004374453193350831,\n",
       " 'file1013': 0.0013123359580052493,\n",
       " 'BenjiminJune1': 0.0004374453193350831,\n",
       " 'karlajw': 0.0004374453193350831,\n",
       " 'EllaBowenVirgo': 0.0008748906386701663,\n",
       " 'WeWonHowBoutdat': 0.0004374453193350831,\n",
       " 'EmilyMW15': 0.0004374453193350831,\n",
       " 'cetrick320': 0.0004374453193350831,\n",
       " 'MABardino': 0.0008748906386701663,\n",
       " 'travlyngirl': 0.0004374453193350831,\n",
       " 'AccuracyInMedia': 0.0,\n",
       " 'yesWEcanMAGA': 0.0004374453193350831,\n",
       " 'uafanct': 0.0008748906386701663,\n",
       " 'HowonsSocks': 0.0004374453193350831,\n",
       " 'JaneHarden7': 0.0004374453193350831,\n",
       " 'CommUNITY_USA': 0.0013123359580052493,\n",
       " 'lendavis3': 0.0004374453193350831,\n",
       " 'RonK17977917': 0.0004374453193350831,\n",
       " 'Purple_POV': 0.0,\n",
       " 'petpanther0': 0.0004374453193350831,\n",
       " 'FrankieRusso1': 0.0008748906386701663,\n",
       " 'bleedingonpaper': 0.0008748906386701663,\n",
       " 'shelbydoll1': 0.0004374453193350831,\n",
       " 'abbavitch': 0.0004374453193350831,\n",
       " 'Stray_Arrows': 0.0004374453193350831,\n",
       " 'joe_dirty': 0.0004374453193350831,\n",
       " 'C_Ethan_Edsall': 0.0008748906386701663,\n",
       " 'owlsaywhoo': 0.0004374453193350831,\n",
       " 'mbsally': 0.0008748906386701663,\n",
       " 'jtoufas': 0.0008748906386701663,\n",
       " 'SAMMIESMILES8': 0.0008748906386701663,\n",
       " 'trumps_feed': 0.0008748906386701663,\n",
       " 'SkepticalLib': 0.0004374453193350831,\n",
       " 'filmstudy1998': 0.0004374453193350831,\n",
       " 'Mindy4110': 0.0004374453193350831,\n",
       " 'ohjjbc': 0.0004374453193350831,\n",
       " 'flachas3': 0.0013123359580052493,\n",
       " 'wattsjim': 0.0,\n",
       " 'linmger': 0.0004374453193350831,\n",
       " 'abe_labbad': 0.0004374453193350831,\n",
       " 'Marjori77680062': 0.0008748906386701663,\n",
       " 'SandyGraves1': 0.0004374453193350831,\n",
       " 'GreekSTL': 0.0004374453193350831,\n",
       " 'SalvAHHHdor': 0.0004374453193350831,\n",
       " 'cmec3180': 0.0008748906386701663,\n",
       " 'tteply162': 0.0004374453193350831,\n",
       " 'JimJone97347689': 0.0004374453193350831,\n",
       " 'TJNMxxy': 0.0004374453193350831,\n",
       " 'LateNightSeth': 0.0,\n",
       " 'jtblogs': 0.0013123359580052493,\n",
       " 'Transy1vanian': 0.0004374453193350831,\n",
       " 'Earthjustice': 0.0,\n",
       " 'maxwelledison1': 0.0004374453193350831,\n",
       " 'DBZDoll': 0.0004374453193350831,\n",
       " 'crzymom110': 0.0004374453193350831,\n",
       " 'TomSeward5': 0.0004374453193350831,\n",
       " 'TroyCharlet': 0.0004374453193350831,\n",
       " 'TangoChange': 0.0004374453193350831,\n",
       " 'shirleyinmccall': 0.0004374453193350831,\n",
       " 'DCsurfboards': 0.0004374453193350831,\n",
       " 'fouser_renee': 0.0013123359580052493,\n",
       " 'sblanius': 0.0004374453193350831,\n",
       " 'BasedMonitored': 0.0,\n",
       " 'myselfthesinger': 0.0004374453193350831,\n",
       " 'EnemyofTwitler2': 0.0004374453193350831,\n",
       " 'Tonevalentiine': 0.0004374453193350831,\n",
       " 'picc_susan': 0.0008748906386701663,\n",
       " 'wpetty19': 0.0004374453193350831,\n",
       " 'BrandyJewellE': 0.0008748906386701663,\n",
       " 'maziehirono': 0.0,\n",
       " 'stanscott53': 0.0008748906386701663,\n",
       " 'cgpb': 0.0008748906386701663,\n",
       " 'claster2': 0.0004374453193350831,\n",
       " 'ThePureGal': 0.0008748906386701663,\n",
       " 'DisavowTrump16': 0.0,\n",
       " 'mrmonks01': 0.0004374453193350831,\n",
       " 'KimberKimba': 0.0004374453193350831,\n",
       " 'RepDavidEPrice': 0.0,\n",
       " 'FedUp610': 0.0004374453193350831,\n",
       " 'flyboy_1776': 0.0004374453193350831,\n",
       " 'DeepSouthProud': 0.0004374453193350831,\n",
       " 'Shhhh116': 0.0004374453193350831,\n",
       " 'Eviesmamaw': 0.0013123359580052493,\n",
       " 'fedupwithit31': 0.0,\n",
       " 'LD232323': 0.0004374453193350831,\n",
       " 'omidbg': 0.0004374453193350831,\n",
       " 'tors_gotasecret': 0.0004374453193350831,\n",
       " 'emmaladyrose': 0.0,\n",
       " '2old2kare': 0.0008748906386701663,\n",
       " 'say3738': 0.0008748906386701663,\n",
       " 'debsimmonsms': 0.0004374453193350831,\n",
       " 'victorvr': 0.0008748906386701663,\n",
       " 'RepublicanChick': 0.0,\n",
       " 'TNeuhardt': 0.0004374453193350831,\n",
       " 'DoublePTX2': 0.0004374453193350831,\n",
       " 'MayhewNichoel': 0.0004374453193350831,\n",
       " 'brookiesamommy': 0.0004374453193350831,\n",
       " 'kingsanders27': 0.0004374453193350831,\n",
       " 'brobinson72': 0.0004374453193350831,\n",
       " 'WFMY': 0.0004374453193350831,\n",
       " 'Justin32392562': 0.0004374453193350831,\n",
       " 'salahuddin_koli': 0.0004374453193350831,\n",
       " 'Katjam7025': 0.0004374453193350831,\n",
       " 'geekpryde': 0.0004374453193350831,\n",
       " 'Engineer_David6': 0.0008748906386701663,\n",
       " 'krystalwolfgrl': 0.0008748906386701663,\n",
       " 'AmandiOnAir': 0.0,\n",
       " 'mrsksomeday': 0.0004374453193350831,\n",
       " 'BraineaterBob': 0.0008748906386701663,\n",
       " 'whpresscorps': 0.0004374453193350831,\n",
       " 'KeithWpreston': 0.0004374453193350831,\n",
       " 'bookworksbyday': 0.0004374453193350831,\n",
       " 'charmed_grace21': 0.0004374453193350831,\n",
       " 'guitarplayer232': 0.0004374453193350831,\n",
       " 'kaxelivar': 0.0008748906386701663,\n",
       " 'TinaColaco': 0.0004374453193350831,\n",
       " 'edie712': 0.0004374453193350831,\n",
       " 'mminpgh': 0.0004374453193350831,\n",
       " 'huntonit': 0.0004374453193350831,\n",
       " 'chinovvv': 0.0013123359580052493,\n",
       " 'JeffWedge': 0.0004374453193350831,\n",
       " 'MatthewGPhy': 0.0004374453193350831,\n",
       " 'charliebearnix': 0.0004374453193350831,\n",
       " 'BavasiBuzz': 0.0004374453193350831,\n",
       " 'Philfandan': 0.0004374453193350831,\n",
       " 'DemAwakening': 0.0004374453193350831,\n",
       " '_KimberlyCarol': 0.0004374453193350831,\n",
       " 'robie19': 0.0004374453193350831,\n",
       " 'paquis65222': 0.0004374453193350831,\n",
       " 'mariann_benway': 0.0008748906386701663,\n",
       " 'reg1776': 0.0004374453193350831,\n",
       " 'Bmoreravenscm': 0.0004374453193350831,\n",
       " 'kimberly010960': 0.0004374453193350831,\n",
       " 'SSteamroller': 0.0004374453193350831,\n",
       " 'MarilynBrier': 0.0004374453193350831,\n",
       " 'PoppyPoppyb': 0.0004374453193350831,\n",
       " 'haven1406': 0.0004374453193350831,\n",
       " 'dandi_lion123': 0.0004374453193350831,\n",
       " 'ddtrn7': 0.0004374453193350831,\n",
       " 'emfbd': 0.0004374453193350831,\n",
       " 'KATantiNWO': 0.0004374453193350831,\n",
       " 'coliciamingo': 0.0008748906386701663,\n",
       " 'GramaD386': 0.0008748906386701663,\n",
       " 'KarenLynnBNB': 0.0004374453193350831,\n",
       " 'RevChuckCurrie': 0.0008748906386701663,\n",
       " 'LeahDaughtry': 0.0,\n",
       " 'sueieque52': 0.0004374453193350831,\n",
       " 'Evjone95': 0.0004374453193350831,\n",
       " 'pinklily2003': 0.0008748906386701663,\n",
       " 'reginaw50361': 0.0004374453193350831,\n",
       " 'WriterLisaO': 0.0004374453193350831,\n",
       " 'MoodyBrew': 0.0004374453193350831,\n",
       " ...}"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# degree centrality\n",
    "nx.in_degree_centrality(G_rt)\n",
    "nx.out_degree_centrality(G_rt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "b437b39e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'MatthewJAld': 0.0,\n",
       " 'ScottPresler': 0.0,\n",
       " 'broussard_sr': 0.0,\n",
       " 'RealJack': 0.0,\n",
       " 'CLSTEPHANY': 0.0,\n",
       " 'UNITEDWEDREAM': 0.0,\n",
       " 'DAWNSTUTESMAN': 0.0,\n",
       " 'TomiLahren': 0.0,\n",
       " 'SCischk': 0.0,\n",
       " 'bceil': 0.0,\n",
       " 'glennbeck': 0.0,\n",
       " 'JimJestedm': 0.0,\n",
       " 'PressSec': 0.0,\n",
       " 'CaliConsrvative': 1.9144215288187445e-07,\n",
       " 'Fuctupmind': 0.0,\n",
       " 'oilaman': 0.0,\n",
       " 'SonofLiberty357': 1.1486529172912467e-06,\n",
       " 'kimmieguy': 0.0,\n",
       " 'KamVTV': 0.0,\n",
       " 'michaelsolakiew': 0.0,\n",
       " 'atroussov': 0.0,\n",
       " 'LizCrokin': 0.0,\n",
       " 'crose84': 0.0,\n",
       " 'JoyAnnReid': 0.0,\n",
       " 'colaresisle': 0.0,\n",
       " 'krassenstein': 0.0,\n",
       " 'thedreadedaw': 0.0,\n",
       " 'TheRickyDavila': 0.0,\n",
       " 'JamesTLockhart': 0.0,\n",
       " 'Public_Citizen': 9.189223338329973e-06,\n",
       " 'davidpsdem': 0.0,\n",
       " 'laamigable21': 0.0,\n",
       " 'GayRepublicSwag': 0.0,\n",
       " 'likessailboats': 0.0,\n",
       " 'Shakestweetz': 0.0,\n",
       " 'buckpolitics': 0.0,\n",
       " 'WaffleSundays': 0.0,\n",
       " 'DorianSoudjian': 0.0,\n",
       " 'WhiteHouse': 0.0,\n",
       " 'FightingChase': 0.0,\n",
       " 'Cernovich': 0.0,\n",
       " 'BennyHCarroll': 0.0,\n",
       " 'annespo': 0.0,\n",
       " 'jmcconnell522': 0.0,\n",
       " 'StrangeLunaMari': 0.0,\n",
       " 'michelleking66': 0.0,\n",
       " 'EARTH3R': 0.0,\n",
       " 'rychemom': 0.0,\n",
       " 'moviebill52': 0.0,\n",
       " 'KatiePavlich': 0.0,\n",
       " 'sapmcdowell': 0.0,\n",
       " 'thehuffherd': 0.0,\n",
       " 'RealAlexJones': 0.0,\n",
       " 'aerochic65': 0.0,\n",
       " 'CassandraRules': 0.0,\n",
       " 'rick_maddox': 0.0,\n",
       " 'thebradfordfile': 3.637400904755615e-06,\n",
       " 'Be17812369Laura': 0.0,\n",
       " 'pet1713': 0.0,\n",
       " 'CBSNews': 0.0,\n",
       " 'priceray': 0.0,\n",
       " 'FrankLuntz': 0.0,\n",
       " 'mccroreychris': 0.0,\n",
       " 'michellemalkin': 0.0,\n",
       " 'tammylynn1129': 0.0,\n",
       " 'GeorgetteGarci': 0.0,\n",
       " 'charliekirk11': 0.0,\n",
       " 'AnimeandMM4ever': 0.0,\n",
       " 'DLoesch': 0.0,\n",
       " 'richito81': 0.0,\n",
       " 'Stump4TrumpPAC': 0.0,\n",
       " 'ldcompston': 0.0,\n",
       " 'TyroneLengert': 0.0,\n",
       " 'TheMsDacia': 0.0,\n",
       " 'TeenVogue': 0.0,\n",
       " 'staggs1969': 0.0,\n",
       " 'gbeach2106': 0.0,\n",
       " 'toddstarnes': 0.0,\n",
       " 'vickitaytay17': 0.0,\n",
       " 'BennettJr89': 0.0,\n",
       " 'Patrici81767862': 0.0,\n",
       " 'EddieDonovan': 1.9144215288187445e-07,\n",
       " 'Liveit2fullest': 0.0,\n",
       " 'coachfoster15': 0.0,\n",
       " 'FoxNews': 2.5653248486171177e-05,\n",
       " 'irritatedwoman': 1.9144215288187445e-07,\n",
       " 'Uncle_Jimbo': 0.0,\n",
       " 'didit_doty': 0.0,\n",
       " 'RealKyleMorris': 0.0,\n",
       " 'VoseJim': 0.0,\n",
       " 'gerij9': 0.0,\n",
       " 'PPact': 0.0,\n",
       " 'fifty3percent': 0.0,\n",
       " 'slewis8353': 0.0,\n",
       " 'Pwn1sh3r_82': 0.0,\n",
       " 'EF517_V2': 0.0,\n",
       " 'smittyjr33': 0.0,\n",
       " 'AnnBeeman': 0.0,\n",
       " 'FoxBusiness': 0.0,\n",
       " 'e99c07ccfb97417': 0.0,\n",
       " 'Jonahhladycz': 0.0,\n",
       " 'LindaSuhler': 0.0,\n",
       " 'cococupcake29': 0.0,\n",
       " 'SaraCarterDC': 0.0,\n",
       " 'Andrea51544005': 0.0,\n",
       " 'MoveOn': 0.0,\n",
       " 'FitzDuffy': 0.0,\n",
       " 'RealSaavedra': 0.0,\n",
       " 'jimboazil': 0.0,\n",
       " 'PastorThomasT': 0.0,\n",
       " 'jsnive': 0.0,\n",
       " 'mcrysup': 0.0,\n",
       " 'RyanAFournier': 3.2545165989918656e-06,\n",
       " 'benrgilbert': 0.0,\n",
       " 'mehdirhasan': 0.0,\n",
       " 'GordonCrash': 0.0,\n",
       " 'GOP': 0.0,\n",
       " 'TravarL': 0.0,\n",
       " 'HootPhD': 0.0,\n",
       " 'guypbenson': 4.594611669164987e-06,\n",
       " 'michaeldweiss': 0.0,\n",
       " 'unclee80': 0.0,\n",
       " 'carrieksada': 0.0,\n",
       " 'paris_2393': 0.0,\n",
       " 'Blueeyes2luv': 3.828843057637489e-07,\n",
       " 'RussianBot35': 0.0,\n",
       " 'jlboone1': 0.0,\n",
       " 'BMalley10': 0.0,\n",
       " 'deedeelynn63': 0.0,\n",
       " 'JillDBartosz': 0.0,\n",
       " 'kujayhawksone66': 0.0,\n",
       " 'PROJEKT61': 0.0,\n",
       " 'KyleKulinski': 0.0,\n",
       " 'frame_2016': 0.0,\n",
       " 'Bear_hugzzz': 0.0,\n",
       " 'CaryFrazee': 0.0,\n",
       " 'Hippyplace': 0.0,\n",
       " 'kwilli1046': 0.0,\n",
       " 'GodEmperor1138': 0.0,\n",
       " 'joey_girardi': 1.9144215288187446e-06,\n",
       " 'CollinRugg': 0.0,\n",
       " 'arynkw': 0.0,\n",
       " 'ummmno21': 0.0,\n",
       " 'jdnpepsi': 0.0,\n",
       " 'hexogennotsugar': 0.0,\n",
       " 'piper_low': 0.0,\n",
       " 'B75434425': 0.0,\n",
       " 'EblingJr': 0.0,\n",
       " 'katrinarooker': 0.0,\n",
       " 'DonaldJTrumpJr': 0.0,\n",
       " 'LaurelT1': 0.0,\n",
       " 'OKIndian1': 0.0,\n",
       " 'ColumbiaBugle': 0.0,\n",
       " 'SherryWhy1': 0.0,\n",
       " 'JeSuisDog': 0.0,\n",
       " 'csinrainbow1': 0.0,\n",
       " 'ScottVa52467898': 0.0,\n",
       " 'ABrown05388111': 0.0,\n",
       " 'RicksOpinion': 0.0,\n",
       " 'IronStache': 0.0,\n",
       " 'ggbatlb': 0.0,\n",
       " 'couerfidele': 0.0,\n",
       " 'LorriStringer': 0.0,\n",
       " 'LFrady': 0.0,\n",
       " 'thecjpearson': 0.0,\n",
       " 'dwatson904': 0.0,\n",
       " 'MiMi4Kidz': 0.0,\n",
       " 'The_Trump_Train': 0.0,\n",
       " 'eyesonolive': 0.0,\n",
       " 'alabamamangreg': 0.0,\n",
       " 'AdamBaldwin': 0.0,\n",
       " 'Frankie1654': 0.0,\n",
       " 'votevets': 0.0,\n",
       " 'Hazeldaughter': 0.0,\n",
       " 'realdonsmith70': 0.0,\n",
       " 'HouseGOP': 0.0,\n",
       " 'Dixiegirl2448': 0.0,\n",
       " 'cristinalaila1': 0.0,\n",
       " 'debra_bonanno': 0.0,\n",
       " 'kbari12': 0.0,\n",
       " 'lucasgrindley': 0.0,\n",
       " 'DGComedy': 0.0,\n",
       " 'BestRDSP': 1.9144215288187445e-07,\n",
       " 'PrisonPlanet': 0.0,\n",
       " 'TomReed72363098': 0.0,\n",
       " 'Italians4Trump': 1.9144215288187445e-07,\n",
       " 'showlady102': 0.0,\n",
       " 'JeanneHamad': 0.0,\n",
       " 'jamesdnelson': 0.0,\n",
       " 'iyamjames': 0.0,\n",
       " 'ceceoo': 0.0,\n",
       " 'MinnPatriot': 0.0,\n",
       " 'RobertWoodham2': 0.0,\n",
       " 'Debrina122': 0.0,\n",
       " 'DonaldUS2016': 1.9144215288187445e-07,\n",
       " 'MarkDice': 0.0,\n",
       " 'up_viking': 0.0,\n",
       " 'Tombx7M': 3.0630744461099913e-06,\n",
       " 'bobbypick': 0.0,\n",
       " 'Texas_Trump': 0.0,\n",
       " 'RedheadYolanda': 0.0,\n",
       " 'stein0': 0.0,\n",
       " 'AndrewPapich': 0.0,\n",
       " 'aedaw9i': 0.0,\n",
       " 'hardball': 3.828843057637489e-07,\n",
       " 'JFLombardi': 0.0,\n",
       " 'ChristiChat': 5.16893812781061e-06,\n",
       " 'JohnFul38300013': 0.0,\n",
       " 'ems56rn': 0.0,\n",
       " 'AmericanMex067': 0.0,\n",
       " 'meliss_lazarte': 0.0,\n",
       " 'SenateGOP': 0.0,\n",
       " 'CEMorgenstern': 0.0,\n",
       " 'Handy_Ginger': 0.0,\n",
       " 'VoCommunism': 1.9144215288187445e-07,\n",
       " 'Scottforpa': 0.0,\n",
       " 'Donald4presiden': 0.0,\n",
       " 'McvayRiggans': 0.0,\n",
       " 'dnjma5': 0.0,\n",
       " 'ChrisFi19702048': 0.0,\n",
       " '2Run26': 0.0,\n",
       " 'TrumpingNow': 0.0,\n",
       " 'SecretarySonny': 0.0,\n",
       " 'usn112006': 0.0,\n",
       " 'Lynnmorrisdown1': 0.0,\n",
       " 'BigDaddyFatRat': 0.0,\n",
       " 'krengles': 0.0,\n",
       " 'K_Dawg60': 0.0,\n",
       " 'pnehlen': 0.0,\n",
       " 'hemumford': 0.0,\n",
       " 'KatherineWolfr2': 0.0,\n",
       " 'Gays4ChickFilA': 0.0,\n",
       " 'benshapiro': 0.0,\n",
       " 'Beverly99139999': 0.0,\n",
       " 'Lindamos': 0.0,\n",
       " '4everNeverTrump': 0.0,\n",
       " 'kristarobin71': 0.0,\n",
       " 'sjlev_lvgd': 0.0,\n",
       " 'BethNicoleBooks': 0.0,\n",
       " 'GustavVader1': 0.0,\n",
       " 'basskicker11': 0.0,\n",
       " 'astepp37': 0.0,\n",
       " 'Butterfly5564': 0.0,\n",
       " 'votolatino': 1.1486529172912467e-06,\n",
       " 'OliWilly': 0.0,\n",
       " 'ODL_5sosjrt1d': 0.0,\n",
       " 'Karengrisham1': 0.0,\n",
       " 'treizetrange': 0.0,\n",
       " '1065rth': 0.0,\n",
       " 'larryelder': 0.0,\n",
       " 'nancypr19': 0.0,\n",
       " 'stylishsatirist': 0.0,\n",
       " 'JordanSekulow': 0.0,\n",
       " 'jakeryan2112': 0.0,\n",
       " 'texasGSDgirl': 0.0,\n",
       " 'twiez07': 7.657686115274978e-07,\n",
       " 'SpeakerRyan': 0.0,\n",
       " 'bchase7': 0.0,\n",
       " 'annmariemadrig1': 0.0,\n",
       " 'cindycrump14': 0.0,\n",
       " 'RadioFreeUnite': 1.9144215288187445e-07,\n",
       " 'StockMonsterVIP': 0.0,\n",
       " 'KarenDBgo': 0.0,\n",
       " 'KCalrdh': 0.0,\n",
       " 'tponews': 0.0,\n",
       " 'Rynarose': 0.0,\n",
       " 'rochellehume': 0.0,\n",
       " 'MDYankeefan1': 0.0,\n",
       " 'BartonForte': 0.0,\n",
       " 'Getaclue77': 0.0,\n",
       " 'angelaleedorel1': 0.0,\n",
       " 'junktion3': 0.0,\n",
       " 'nerak0331': 0.0,\n",
       " 'iamErickT': 0.0,\n",
       " 'DewsNewz': 0.0,\n",
       " 'DCarrafiello': 0.0,\n",
       " 'jackson5213': 0.0,\n",
       " 'SherrySwain': 0.0,\n",
       " 'Patrici69910518': 0.0,\n",
       " 'PeasandQuiet': 0.0,\n",
       " 'BorisEP': 0.0,\n",
       " 'veronica_eibell': 0.0,\n",
       " 'SiddonsDan': 5.743264586456233e-07,\n",
       " 'Shez_a_Bitchx': 0.0,\n",
       " 'allaboutme4545': 0.0,\n",
       " 'edinssister': 0.0,\n",
       " 'Trumpfan1995': 0.0,\n",
       " 'gecaldwell': 0.0,\n",
       " 'MonicaCrowley': 0.0,\n",
       " 'jnob2030': 0.0,\n",
       " 'GetOnTRUMPTrain': 0.0,\n",
       " 'watersc944': 0.0,\n",
       " 'fidget5000': 0.0,\n",
       " 'The_Rumpus': 5.743264586456233e-07,\n",
       " 'perfectsliders': 0.0,\n",
       " 'firebirdxx3': 0.0,\n",
       " 'NYQueens3': 0.0,\n",
       " 'Willmvg': 0.0,\n",
       " 'chicksonright': 0.0,\n",
       " 'DrDarrellCline': 0.0,\n",
       " 'Slotsqueen3': 0.0,\n",
       " 'Shareblue': 0.0,\n",
       " 'SteveJa39296543': 0.0,\n",
       " 'mcjagreb': 0.0,\n",
       " 'Veteran4Trump': 0.0,\n",
       " 'ZaneCress': 0.0,\n",
       " 'WillaoWoman': 0.0,\n",
       " 'women_4Trump': 0.0,\n",
       " 'esaagar': 0.0,\n",
       " 'TTysonToni1': 0.0,\n",
       " 'StaceyJeffries9': 0.0,\n",
       " 'KarlaMeggison': 0.0,\n",
       " 'rachelwise06': 0.0,\n",
       " 'sisterwash65': 0.0,\n",
       " 'ThomasMHern': 0.0,\n",
       " 'spirit_sue': 0.0,\n",
       " 'TheMissionalist': 0.0,\n",
       " 'DomesticEnginee': 0.0,\n",
       " 'Adamo55f': 0.0,\n",
       " 'Jrzladyvjs': 0.0,\n",
       " 'marthaleewalter': 0.0,\n",
       " 'Tesscatbird': 0.0,\n",
       " 'MurphyAA': 0.0,\n",
       " 'ljblack6': 0.0,\n",
       " 'drrobin10': 0.0,\n",
       " 'DwayneHinton8': 0.0,\n",
       " 'Marinelli28': 0.0,\n",
       " 'RozemieDefrancq': 0.0,\n",
       " 'HuffPost': 0.0,\n",
       " 'lokimaros': 0.0,\n",
       " 'AcidRayneStorm': 0.0,\n",
       " 'Salted2': 0.0,\n",
       " 'crazybirdlady53': 0.0,\n",
       " 'kitten0626': 0.0,\n",
       " 'ohiotrumpgirl': 0.0,\n",
       " 'KarenWillestoft': 0.0,\n",
       " 'rfscottga': 0.0,\n",
       " 'tkinder': 0.0,\n",
       " 'bellabellariley': 0.0,\n",
       " 'TimEDirr1': 0.0,\n",
       " 'sandandsea2017': 0.0,\n",
       " 'FedupWithSwamp': 0.0,\n",
       " 'HipHopHead_347': 0.0,\n",
       " 'Kathleen2157': 0.0,\n",
       " 'SierraClub': 0.0,\n",
       " 'DanRidgway3': 0.0,\n",
       " 'beckynashville': 0.0,\n",
       " 'pghbeba': 0.0,\n",
       " 'sallykohn': 0.0,\n",
       " 'RosemarieKNorr': 0.0,\n",
       " 'sisp101': 0.0,\n",
       " 'ArmieFox714': 0.0,\n",
       " 'GaryShapiro': 0.0,\n",
       " 'AddamLanza': 0.0,\n",
       " 'AveryChasten': 0.0,\n",
       " 'christymatson64': 0.0,\n",
       " 'Innrdreams': 0.0,\n",
       " 'NBCNews': 0.0,\n",
       " 'lazer_rubin': 0.0,\n",
       " 'b1gtyme24': 0.0,\n",
       " 'calljm': 0.0,\n",
       " 'ArnFknJackson': 0.0,\n",
       " 'johncardillo': 4.020285210519363e-06,\n",
       " 'iloveutothemoon': 0.0,\n",
       " 'tricia_fierro': 0.0,\n",
       " 'LisaMarieMagin': 0.0,\n",
       " 'DanaTurner63': 0.0,\n",
       " 'IndivisibleDoCo': 0.0,\n",
       " 'NBCPolitics': 3.828843057637489e-07,\n",
       " 'NotBadFrog': 0.0,\n",
       " 'RealMattCouch': 0.0,\n",
       " 'airwolf1967': 0.0,\n",
       " 'juliascribbling': 0.0,\n",
       " 'rodulio69': 0.0,\n",
       " 'RandyXVll': 0.0,\n",
       " 'captnavarre': 0.0,\n",
       " 'TyHarris24': 0.0,\n",
       " 'burkhardt_pat': 0.0,\n",
       " 'DeJonXIII': 0.0,\n",
       " 'cindyrburk': 0.0,\n",
       " 'GreggDiPaolo': 0.0,\n",
       " 'killabeas69': 0.0,\n",
       " 'sagejoylove': 0.0,\n",
       " 'libturdflusher': 0.0,\n",
       " 'PoliticalShort': 0.0,\n",
       " 'SmartyJones1': 0.0,\n",
       " 'Susan40370948': 0.0,\n",
       " 'RefuteFrMartin': 0.0,\n",
       " 'FAIRImmigration': 0.0,\n",
       " 'Only1Rainey': 0.0,\n",
       " 'ldobbs1234': 0.0,\n",
       " 'gkilti': 0.0,\n",
       " 'timps15': 0.0,\n",
       " 'Roberts5Don': 0.0,\n",
       " 'DougDlouhy': 0.0,\n",
       " 'Hoosiers1986': 1.1486529172912467e-06,\n",
       " 'notadotard': 0.0,\n",
       " 'LusiakChris': 0.0,\n",
       " 'FullFrontalSamB': 0.0,\n",
       " 'TorandHope': 0.0,\n",
       " 'LetsSeeThatMEMO': 0.0,\n",
       " 'pig4801kj': 0.0,\n",
       " 'Faihadcomcastn1': 0.0,\n",
       " 'MlmoutonMy': 0.0,\n",
       " 'JGonza28': 0.0,\n",
       " 'Montyferbert': 0.0,\n",
       " 'gadsdendtom': 0.0,\n",
       " 'zhalli1': 0.0,\n",
       " 'bryanbehar': 0.0,\n",
       " 'Vielle_Beignet': 0.0,\n",
       " 'MAGARoseTaylor': 0.0,\n",
       " 'PrimaryMcCain': 0.0,\n",
       " 'elitmik': 0.0,\n",
       " 'kennethmallor16': 0.0,\n",
       " 'PinkBelgium': 3.828843057637489e-07,\n",
       " 'ericashaina': 0.0,\n",
       " 'BJCollins131': 0.0,\n",
       " 'CiAnDy3': 0.0,\n",
       " 'JudgeJeanine': 0.0,\n",
       " 'warren_melanie': 0.0,\n",
       " 'Pink_About_it': 0.0,\n",
       " 'ForeverKingLaw': 0.0,\n",
       " 'CypherFaerie': 0.0,\n",
       " 'CCookie18': 0.0,\n",
       " 'japerez53': 0.0,\n",
       " 'pecriel': 0.0,\n",
       " 'SaintBakhita': 0.0,\n",
       " 'TheosaursRex': 0.0,\n",
       " 'cobiejensen': 0.0,\n",
       " 'patsphotos': 0.0,\n",
       " 'LSURay': 0.0,\n",
       " 'JasonMillerinDC': 0.0,\n",
       " 'gatrbait': 0.0,\n",
       " 'ldubindubc': 0.0,\n",
       " 'papago1996': 0.0,\n",
       " 'Deplorablesss': 0.0,\n",
       " 'Hendergun_Ninja': 0.0,\n",
       " 'RealJTP': 9.572107644093723e-07,\n",
       " 'RaiderMatt5204': 0.0,\n",
       " 'ImDrToxic': 0.0,\n",
       " 'UkraineBlues': 0.0,\n",
       " 'NIVIsa4031': 1.5315372230549956e-06,\n",
       " 'irishshopgirl1': 0.0,\n",
       " 'SuziWillWin': 0.0,\n",
       " 'dixiefortrump': 1.3400950701731213e-06,\n",
       " 'centexlady': 0.0,\n",
       " 'IQ_PoliSci': 0.0,\n",
       " 'KQ_Legan': 0.0,\n",
       " 'rickhowell30': 0.0,\n",
       " 'dglasscock': 0.0,\n",
       " 'maizie45': 0.0,\n",
       " 'DrFMorato': 0.0,\n",
       " 'LeahR77': 0.0,\n",
       " 'gailtalk': 0.0,\n",
       " 'SoCal4Trump': 0.0,\n",
       " 'Brilicka16': 0.0,\n",
       " 'KassyDillon': 0.0,\n",
       " 'Beemer518': 0.0,\n",
       " 'LukeMAGA1': 0.0,\n",
       " 'cenciaden': 0.0,\n",
       " 'Jillibean557': 0.0,\n",
       " 'fsjenner': 0.0,\n",
       " 'nancyhayeswolff': 0.0,\n",
       " 'Kita71': 0.0,\n",
       " 'thinkprogress': 0.0,\n",
       " 'pjpellis17': 0.0,\n",
       " 'kelliwardaz': 0.0,\n",
       " 'SuperFanBrad': 0.0,\n",
       " 'Timaay': 0.0,\n",
       " 'MonaSalama_': 0.0,\n",
       " 'SCRUB58': 0.0,\n",
       " 'steph93065': 0.0,\n",
       " 'oldgeekgal': 0.0,\n",
       " 'mrctv': 0.0,\n",
       " 'AuroraBee20': 0.0,\n",
       " 'nljac000': 0.0,\n",
       " 'bk2sq1': 0.0,\n",
       " 'UghToHillary': 0.0,\n",
       " 'KatieSimmons6': 0.0,\n",
       " 'redostoneage': 0.0,\n",
       " 'codyest92': 0.0,\n",
       " 'RoniSeale': 0.0,\n",
       " 'Mother0fAllBomb': 0.0,\n",
       " 'Labas81': 0.0,\n",
       " 'AmyMek': 0.0,\n",
       " 'AlfordJp': 0.0,\n",
       " 'RedWaveRising': 1.9144215288187446e-06,\n",
       " 'FittedHickory': 0.0,\n",
       " 'borders_carol': 0.0,\n",
       " 'OsteoMatthew': 0.0,\n",
       " 'resterkat57': 0.0,\n",
       " 'CzarNicholasXXV': 0.0,\n",
       " 'FaithVanGilder': 0.0,\n",
       " 'theriot_chad': 0.0,\n",
       " 'joannabalesca': 0.0,\n",
       " 'JustfreeJools': 0.0,\n",
       " 'BostonDaveBU': 0.0,\n",
       " 'mskaahn': 0.0,\n",
       " 'westld': 0.0,\n",
       " 'southernpearle': 0.0,\n",
       " 'WomenforTrump': 0.0,\n",
       " 'larryhicks21971': 0.0,\n",
       " 'GaleSanderss': 0.0,\n",
       " 'JonnyBoGermany': 0.0,\n",
       " 'glebbern': 0.0,\n",
       " 'michael__1776': 0.0,\n",
       " 'tktrang55': 0.0,\n",
       " '4AllSoulKind': 1.9144215288187445e-07,\n",
       " 'MIGOP': 0.0,\n",
       " 'fedupppp': 0.0,\n",
       " 'aburgher': 0.0,\n",
       " 'Motta508': 0.0,\n",
       " 'YoungDems4Trump': 0.0,\n",
       " 'Navyvet270': 0.0,\n",
       " 'ChrisJohn191': 0.0,\n",
       " 'CallMeMaci': 0.0,\n",
       " 'kima_jones': 0.0,\n",
       " 'tluvgolf': 0.0,\n",
       " 'venfarns': 0.0,\n",
       " 'StephanKetteri3': 0.0,\n",
       " 'CosmicRabbit42': 0.0,\n",
       " 'Dsandz15': 1.9144215288187445e-07,\n",
       " 'MichiganDems': 0.0,\n",
       " 'ZN_007': 0.0,\n",
       " 'Burg8Ai': 0.0,\n",
       " 'ForAmerica': 0.0,\n",
       " 'AdvertisingLaw': 0.0,\n",
       " 'LukasOzpaker': 0.0,\n",
       " 'Deplorable1st': 0.0,\n",
       " 'labuda_robert': 0.0,\n",
       " 'LoneStar_Dad': 0.0,\n",
       " 'Ladderman421': 0.0,\n",
       " 'lfangonilo': 0.0,\n",
       " '_Josh_Holub_': 0.0,\n",
       " 'leach_susan': 0.0,\n",
       " 'GregHester17': 0.0,\n",
       " 'atticus141': 0.0,\n",
       " 'KimStrassel': 0.0,\n",
       " 'emilykholcomb': 0.0,\n",
       " 'carlin_brandon': 0.0,\n",
       " 'Liverpotlian': 0.0,\n",
       " 'david1952_david': 0.0,\n",
       " 'nypattif': 0.0,\n",
       " 'shansmig': 0.0,\n",
       " 'eduardolatorre': 0.0,\n",
       " 'Dorunda': 0.0,\n",
       " 'adivaat50ish': 0.0,\n",
       " 'FMBRedemption': 0.0,\n",
       " 'LoConservative': 0.0,\n",
       " 'HopeandDream4': 0.0,\n",
       " 'KathySamira': 0.0,\n",
       " 'RicoColon1': 0.0,\n",
       " 'sdb986': 0.0,\n",
       " 'rocgreco': 0.0,\n",
       " 'bubbabumpkin': 0.0,\n",
       " 'Hiking586': 0.0,\n",
       " 'sasser1980': 0.0,\n",
       " 'grayson_tm': 0.0,\n",
       " 'SOLDHTRENDY8': 0.0,\n",
       " 'Franklin_Graham': 0.0,\n",
       " 'sullysmith1141': 0.0,\n",
       " 'RedNationRising': 0.0,\n",
       " 'TrumpsTriumph': 0.0,\n",
       " 'john_abrahamson': 0.0,\n",
       " 'Rockprincess818': 0.0,\n",
       " 'everyhumanknows': 0.0,\n",
       " 'JamieM89403481': 0.0,\n",
       " 'n3xtunes': 0.0,\n",
       " 'MBonifacio2': 0.0,\n",
       " 'NYR30Fan': 0.0,\n",
       " 'PennsylvaniaRed': 0.0,\n",
       " 'WashTimes': 0.0,\n",
       " 'Karen_Becker_Go': 0.0,\n",
       " 'caitie1877': 0.0,\n",
       " 'Esthermsmithart': 0.0,\n",
       " 'CarolynSteger': 0.0,\n",
       " 'navy100': 0.0,\n",
       " 'txmoni7_lopez': 0.0,\n",
       " 'PamelaFalk': 0.0,\n",
       " 'AlexMellott': 0.0,\n",
       " 'framfred1': 0.0,\n",
       " 'toxic11': 0.0,\n",
       " 'cleanh2oaction': 3.828843057637489e-07,\n",
       " 'PublicHealth': 0.0,\n",
       " 'LaurLaur_54': 0.0,\n",
       " 'Lauradeanneh': 0.0,\n",
       " 'swingleft': 0.0,\n",
       " 'whiterav': 0.0,\n",
       " 'SASHATAZLEA': 0.0,\n",
       " 'KatWahamaa': 0.0,\n",
       " 'CountisL': 0.0,\n",
       " 'Larry11704612': 0.0,\n",
       " 'jcarlson1964': 0.0,\n",
       " 'V_robigg': 0.0,\n",
       " 'pastorjohnb7': 0.0,\n",
       " 'marcie4789': 0.0,\n",
       " 'peacefulevryday': 0.0,\n",
       " 'justAphaze2': 0.0,\n",
       " 'AmericanHotLips': 0.0,\n",
       " 'consmover': 7.657686115274978e-07,\n",
       " 'Bookchic56': 0.0,\n",
       " 'TinaDupuy': 0.0,\n",
       " '_Bourne_Flyy': 0.0,\n",
       " 'ClaraHoton': 0.0,\n",
       " 'rabiasquared': 0.0,\n",
       " 'SLYR123': 0.0,\n",
       " 'stillcricket': 0.0,\n",
       " 'Its_josh98': 0.0,\n",
       " 'sweetbreng': 0.0,\n",
       " 'MikeBaaden': 0.0,\n",
       " 'nflp88': 0.0,\n",
       " 'razztaz2016': 0.0,\n",
       " 'Pperezz21': 0.0,\n",
       " 'TheGhostImpala': 0.0,\n",
       " 'ColleenPatrick': 0.0,\n",
       " 'tinkle396': 0.0,\n",
       " 'Santa02Fe': 0.0,\n",
       " 'hookerryan': 0.0,\n",
       " 'Mightymouth5413': 0.0,\n",
       " 'RightWingAngel': 0.0,\n",
       " 'STrimel': 0.0,\n",
       " 'samswey': 0.0,\n",
       " 'kaybell17': 0.0,\n",
       " 'peanut29e17': 0.0,\n",
       " 'OscarSignus': 0.0,\n",
       " 'heresyoursighn': 0.0,\n",
       " 'lisastewart59': 0.0,\n",
       " 'B_Unique_4_Him': 0.0,\n",
       " 'yellowdog625': 0.0,\n",
       " 'ChrisVanHollen': 0.0,\n",
       " 'gop_rules': 0.0,\n",
       " 'mandyjones445': 0.0,\n",
       " 'souldier_': 0.0,\n",
       " 'AnnDevlin14': 0.0,\n",
       " 'VoteIndpndt': 0.0,\n",
       " 'Heart4Missions': 0.0,\n",
       " 'OhioNavyVet': 0.0,\n",
       " 'WEdwarda': 0.0,\n",
       " 'SiochanaPMC': 0.0,\n",
       " 'puppy550': 0.0,\n",
       " 'talesofaSAHM': 0.0,\n",
       " 'chuxugo': 0.0,\n",
       " 'WhosGoneGalt': 0.0,\n",
       " 'REALtrumpbureau': 0.0,\n",
       " 'Brado_84': 0.0,\n",
       " 'vwk7': 0.0,\n",
       " 'formerOregonian': 0.0,\n",
       " 'RonaldCarbone': 0.0,\n",
       " 'donttread10': 0.0,\n",
       " 'amras': 0.0,\n",
       " 'Ozato2000': 0.0,\n",
       " 'JaneNoga': 0.0,\n",
       " 'nicolee_is_boss': 0.0,\n",
       " 'philhuie': 0.0,\n",
       " 'deplorabletx71': 0.0,\n",
       " 't_a_n_a_i_i_2': 0.0,\n",
       " 'USAniFarm2016': 0.0,\n",
       " 'TheRealMaddog58': 0.0,\n",
       " 'Kimberlyolson99': 0.0,\n",
       " 'AndrewSherrod8': 0.0,\n",
       " 'MomDeplorable': 0.0,\n",
       " 'gilluna8': 0.0,\n",
       " 'B_Raw14': 0.0,\n",
       " 'Jimenez415': 0.0,\n",
       " 'USATODAY': 0.0,\n",
       " 'annoyed_getting': 0.0,\n",
       " 'Kypattycakes': 0.0,\n",
       " 'LoneEagal21': 0.0,\n",
       " 'CherDuncombe1': 0.0,\n",
       " '1776tamara': 0.0,\n",
       " 'EscapetheGrid': 0.0,\n",
       " 'Myapple05Lisa': 0.0,\n",
       " 'ToniKalHan': 0.0,\n",
       " 'Trumplar': 0.0,\n",
       " 'efareys2': 0.0,\n",
       " 'C9_kas10': 0.0,\n",
       " 'TiffanyAlaban': 0.0,\n",
       " 'tamaraleighllc': 0.0,\n",
       " 'noraconnor89': 1.9144215288187445e-07,\n",
       " 'GoTrumpFL': 0.0,\n",
       " 'newtgingrich': 0.0,\n",
       " 'organic2016': 0.0,\n",
       " 'Trumperland': 0.0,\n",
       " 'wehking_pamela': 0.0,\n",
       " 'spurger_m': 0.0,\n",
       " '1Hammer': 0.0,\n",
       " 'paphotog': 0.0,\n",
       " 'TangledTight': 0.0,\n",
       " 'madcat44': 0.0,\n",
       " 'JohnHeide2': 0.0,\n",
       " 'redreader5346': 0.0,\n",
       " 'CarrieFromPI': 0.0,\n",
       " 'maxsplace': 0.0,\n",
       " 'MsMaxwell6': 0.0,\n",
       " 'SanHowHintz5': 0.0,\n",
       " 'Tikal217': 0.0,\n",
       " 'RealNamelesSix5': 0.0,\n",
       " 'STEPHMHAMILL': 0.0,\n",
       " 'DaBubbaG': 0.0,\n",
       " 'CDFREEIII': 0.0,\n",
       " 'courageousgirl2': 0.0,\n",
       " 'MikeLevinCA': 0.0,\n",
       " 'Unbound_Beast': 0.0,\n",
       " 'jeanbadgett63': 0.0,\n",
       " 'ValTheeGal': 0.0,\n",
       " 'TfUvea': 0.0,\n",
       " 'JoeyMagana': 0.0,\n",
       " 'dknott409': 0.0,\n",
       " 'SecureAmerica': 0.0,\n",
       " 'jofh5': 0.0,\n",
       " 'dango1103': 0.0,\n",
       " 'jeffpendley': 0.0,\n",
       " 'HootHootBerns': 0.0,\n",
       " 'Susan_Walberg': 0.0,\n",
       " 'ChadChaderton': 0.0,\n",
       " 'EmJayHix': 0.0,\n",
       " 'uliw315': 0.0,\n",
       " 'anyalovesgod': 0.0,\n",
       " 'DCjusticeseeker': 0.0,\n",
       " 'TeresanMS': 0.0,\n",
       " 'twilight2000': 0.0,\n",
       " 'MAGATRUMPYEAR2': 0.0,\n",
       " 'michaeljknowles': 0.0,\n",
       " 'Runningbear42': 0.0,\n",
       " 'obpair': 0.0,\n",
       " 'STLBluesBash': 0.0,\n",
       " 'bkindivisible': 0.0,\n",
       " 'UnitedCitizen01': 0.0,\n",
       " 'SenateRPC': 0.0,\n",
       " 'ryanflesher314': 0.0,\n",
       " 'OldSargeUSAF': 0.0,\n",
       " 'KenSanDiego': 0.0,\n",
       " 'CaroleAlbers': 0.0,\n",
       " 'freewillyiamson': 0.0,\n",
       " 'RepStevenSmith': 0.0,\n",
       " 'theshex': 0.0,\n",
       " 'michaelfromolg': 0.0,\n",
       " 'ProChoiceKills': 0.0,\n",
       " 'AjasutherlandM': 0.0,\n",
       " 'therealopman': 0.0,\n",
       " 'nicole_insley': 0.0,\n",
       " 'DgThejudge54': 0.0,\n",
       " 'amb_pacifica': 0.0,\n",
       " 'chickenchick123': 0.0,\n",
       " 'bomiksu': 0.0,\n",
       " 'indyhawkins': 0.0,\n",
       " 'c5hardtop1999': 0.0,\n",
       " 'mistyblue20109': 0.0,\n",
       " 'jennybethm': 0.0,\n",
       " 'WhiteHatGuy': 0.0,\n",
       " 'hogangidley45': 0.0,\n",
       " 'princesssofpwr': 0.0,\n",
       " 'richard_77777': 0.0,\n",
       " 'WhtWudJacksonDo': 0.0,\n",
       " 'MichelleMaxwell': 0.0,\n",
       " 'CyndiRocks1': 3.828843057637489e-07,\n",
       " 'DrBev4': 0.0,\n",
       " 'RhettCaron': 0.0,\n",
       " 'bighead_buddy': 0.0,\n",
       " 'JohnAMiceli': 0.0,\n",
       " 'rob_radams20': 0.0,\n",
       " 'icimarron': 0.0,\n",
       " 'blackhat57': 0.0,\n",
       " 'mariadestrella': 0.0,\n",
       " 'mms5048': 0.0,\n",
       " 'BrazeeCarol': 0.0,\n",
       " 'Teakindles': 0.0,\n",
       " 'AaronCo08056067': 0.0,\n",
       " 'suohuu': 0.0,\n",
       " 'BobBoobka45': 0.0,\n",
       " 'HouseAppropsGOP': 0.0,\n",
       " 'Seattle1227': 0.0,\n",
       " 'MichaelDelauzon': 0.0,\n",
       " 'kathiaaramos': 0.0,\n",
       " 'los7rayos': 0.0,\n",
       " 'collm57': 0.0,\n",
       " 'LarryBauld': 0.0,\n",
       " 'CoCoinBonita': 0.0,\n",
       " 'PolitixGal': 0.0,\n",
       " 'Guiller92839869': 0.0,\n",
       " 'sampotter595': 0.0,\n",
       " 'deenie7940': 0.0,\n",
       " 'jakoo54': 0.0,\n",
       " 'MaggioMichelle': 0.0,\n",
       " 'LOV_MotherEarth': 0.0,\n",
       " 'EB99439852': 0.0,\n",
       " 'realPolitiDiva': 0.0,\n",
       " 'MbmpPB7': 0.0,\n",
       " 'MyPlace4U': 0.0,\n",
       " 'ChrysTrrs': 0.0,\n",
       " 'islandmafia138': 0.0,\n",
       " 'KazeSkyz': 0.0,\n",
       " 'lalornza': 0.0,\n",
       " 'Epanastatis04': 0.0,\n",
       " 'laurabennawy': 0.0,\n",
       " 'sarah_tabasco': 0.0,\n",
       " 'papichuloeu': 0.0,\n",
       " 'oJibboB80': 7.657686115274978e-07,\n",
       " 'junesfox34': 0.0,\n",
       " 'createtruespace': 0.0,\n",
       " 'Nshikaka': 0.0,\n",
       " 'liviapolise': 5.743264586456233e-07,\n",
       " 'bannerite': 5.743264586456233e-07,\n",
       " 'museisluse': 0.0,\n",
       " 'KyGIRLinTENN': 0.0,\n",
       " 'stephanmetal': 0.0,\n",
       " 'Dee601': 0.0,\n",
       " 'TheOpulentAmish': 0.0,\n",
       " 'PolitiBunny': 0.0,\n",
       " 'bandit301': 0.0,\n",
       " 'cyclamineae': 0.0,\n",
       " 'frankgrubar': 0.0,\n",
       " 'caligurll17': 0.0,\n",
       " '54Doggie': 0.0,\n",
       " 'AmerPatriot1': 0.0,\n",
       " 'TGleitman': 0.0,\n",
       " 'staplens': 0.0,\n",
       " 'AlbinaLvutina': 0.0,\n",
       " 'cnni': 0.0,\n",
       " 'mindybrooke_': 0.0,\n",
       " 'TheAtomicRaygun': 0.0,\n",
       " 'Everloves': 0.0,\n",
       " 'GaryLeeThrasher': 0.0,\n",
       " '0516_864': 0.0,\n",
       " 'LorettaBeasley9': 0.0,\n",
       " 'HolyCow18613': 0.0,\n",
       " 'Call_Me_Dutch': 0.0,\n",
       " 'electra_woman': 0.0,\n",
       " 'sujinhammond': 0.0,\n",
       " 'LaciWilliams10': 0.0,\n",
       " 'jkc120': 0.0,\n",
       " 'suzanb1776': 0.0,\n",
       " 'JanineLynette': 0.0,\n",
       " '_BlairEllis': 0.0,\n",
       " 'MoGon09': 0.0,\n",
       " 'LizzyKat00': 0.0,\n",
       " 'TrumpSuperPAC': 0.0,\n",
       " 'CesarCCardenas': 0.0,\n",
       " 'ForTrump': 0.0,\n",
       " 'donnaliebers': 0.0,\n",
       " 'jayoung1892': 0.0,\n",
       " 'jennifervranes1': 0.0,\n",
       " 'AmTactical556': 0.0,\n",
       " 'CynthiaMN5': 0.0,\n",
       " 'GakeaneKeane': 0.0,\n",
       " 'dotpark': 0.0,\n",
       " 'jenroseht': 0.0,\n",
       " 'JCoudright': 0.0,\n",
       " 'ImNoSaint1': 0.0,\n",
       " 'file1013': 0.0,\n",
       " 'BenjiminJune1': 0.0,\n",
       " 'karlajw': 0.0,\n",
       " 'EllaBowenVirgo': 0.0,\n",
       " 'WeWonHowBoutdat': 0.0,\n",
       " 'EmilyMW15': 0.0,\n",
       " 'cetrick320': 0.0,\n",
       " 'MABardino': 0.0,\n",
       " 'travlyngirl': 0.0,\n",
       " 'AccuracyInMedia': 0.0,\n",
       " 'yesWEcanMAGA': 0.0,\n",
       " 'uafanct': 0.0,\n",
       " 'HowonsSocks': 0.0,\n",
       " 'JaneHarden7': 0.0,\n",
       " 'CommUNITY_USA': 0.0,\n",
       " 'lendavis3': 0.0,\n",
       " 'RonK17977917': 0.0,\n",
       " 'Purple_POV': 0.0,\n",
       " 'petpanther0': 0.0,\n",
       " 'FrankieRusso1': 0.0,\n",
       " 'bleedingonpaper': 0.0,\n",
       " 'shelbydoll1': 0.0,\n",
       " 'abbavitch': 0.0,\n",
       " 'Stray_Arrows': 0.0,\n",
       " 'joe_dirty': 0.0,\n",
       " 'C_Ethan_Edsall': 0.0,\n",
       " 'owlsaywhoo': 0.0,\n",
       " 'mbsally': 0.0,\n",
       " 'jtoufas': 3.828843057637489e-07,\n",
       " 'SAMMIESMILES8': 0.0,\n",
       " 'trumps_feed': 0.0,\n",
       " 'SkepticalLib': 0.0,\n",
       " 'filmstudy1998': 0.0,\n",
       " 'Mindy4110': 0.0,\n",
       " 'ohjjbc': 0.0,\n",
       " 'flachas3': 0.0,\n",
       " 'wattsjim': 0.0,\n",
       " 'linmger': 0.0,\n",
       " 'abe_labbad': 0.0,\n",
       " 'Marjori77680062': 0.0,\n",
       " 'SandyGraves1': 0.0,\n",
       " 'GreekSTL': 0.0,\n",
       " 'SalvAHHHdor': 0.0,\n",
       " 'cmec3180': 0.0,\n",
       " 'tteply162': 0.0,\n",
       " 'JimJone97347689': 0.0,\n",
       " 'TJNMxxy': 0.0,\n",
       " 'LateNightSeth': 0.0,\n",
       " 'jtblogs': 0.0,\n",
       " 'Transy1vanian': 0.0,\n",
       " 'Earthjustice': 0.0,\n",
       " 'maxwelledison1': 0.0,\n",
       " 'DBZDoll': 0.0,\n",
       " 'crzymom110': 0.0,\n",
       " 'TomSeward5': 0.0,\n",
       " 'TroyCharlet': 0.0,\n",
       " 'TangoChange': 0.0,\n",
       " 'shirleyinmccall': 0.0,\n",
       " 'DCsurfboards': 0.0,\n",
       " 'fouser_renee': 0.0,\n",
       " 'sblanius': 0.0,\n",
       " 'BasedMonitored': 0.0,\n",
       " 'myselfthesinger': 0.0,\n",
       " 'EnemyofTwitler2': 0.0,\n",
       " 'Tonevalentiine': 0.0,\n",
       " 'picc_susan': 0.0,\n",
       " 'wpetty19': 0.0,\n",
       " 'BrandyJewellE': 0.0,\n",
       " 'maziehirono': 0.0,\n",
       " 'stanscott53': 0.0,\n",
       " 'cgpb': 0.0,\n",
       " 'claster2': 0.0,\n",
       " 'ThePureGal': 0.0,\n",
       " 'DisavowTrump16': 0.0,\n",
       " 'mrmonks01': 0.0,\n",
       " 'KimberKimba': 0.0,\n",
       " 'RepDavidEPrice': 0.0,\n",
       " 'FedUp610': 0.0,\n",
       " 'flyboy_1776': 0.0,\n",
       " 'DeepSouthProud': 7.657686115274978e-07,\n",
       " 'Shhhh116': 0.0,\n",
       " 'Eviesmamaw': 0.0,\n",
       " 'fedupwithit31': 0.0,\n",
       " 'LD232323': 0.0,\n",
       " 'omidbg': 0.0,\n",
       " 'tors_gotasecret': 0.0,\n",
       " 'emmaladyrose': 0.0,\n",
       " '2old2kare': 0.0,\n",
       " 'say3738': 0.0,\n",
       " 'debsimmonsms': 0.0,\n",
       " 'victorvr': 0.0,\n",
       " 'RepublicanChick': 0.0,\n",
       " 'TNeuhardt': 0.0,\n",
       " 'DoublePTX2': 0.0,\n",
       " 'MayhewNichoel': 0.0,\n",
       " 'brookiesamommy': 0.0,\n",
       " 'kingsanders27': 0.0,\n",
       " 'brobinson72': 0.0,\n",
       " 'WFMY': 0.0,\n",
       " 'Justin32392562': 0.0,\n",
       " 'salahuddin_koli': 0.0,\n",
       " 'Katjam7025': 0.0,\n",
       " 'geekpryde': 0.0,\n",
       " 'Engineer_David6': 0.0,\n",
       " 'krystalwolfgrl': 0.0,\n",
       " 'AmandiOnAir': 0.0,\n",
       " 'mrsksomeday': 0.0,\n",
       " 'BraineaterBob': 0.0,\n",
       " 'whpresscorps': 0.0,\n",
       " 'KeithWpreston': 0.0,\n",
       " 'bookworksbyday': 0.0,\n",
       " 'charmed_grace21': 0.0,\n",
       " 'guitarplayer232': 0.0,\n",
       " 'kaxelivar': 0.0,\n",
       " 'TinaColaco': 0.0,\n",
       " 'edie712': 0.0,\n",
       " 'mminpgh': 0.0,\n",
       " 'huntonit': 0.0,\n",
       " 'chinovvv': 0.0,\n",
       " 'JeffWedge': 1.9144215288187445e-07,\n",
       " 'MatthewGPhy': 0.0,\n",
       " 'charliebearnix': 0.0,\n",
       " 'BavasiBuzz': 0.0,\n",
       " 'Philfandan': 0.0,\n",
       " 'DemAwakening': 7.657686115274978e-07,\n",
       " '_KimberlyCarol': 0.0,\n",
       " 'robie19': 0.0,\n",
       " 'paquis65222': 0.0,\n",
       " 'mariann_benway': 0.0,\n",
       " 'reg1776': 1.5315372230549956e-06,\n",
       " 'Bmoreravenscm': 0.0,\n",
       " 'kimberly010960': 0.0,\n",
       " 'SSteamroller': 0.0,\n",
       " 'MarilynBrier': 0.0,\n",
       " 'PoppyPoppyb': 0.0,\n",
       " 'haven1406': 0.0,\n",
       " 'dandi_lion123': 0.0,\n",
       " 'ddtrn7': 0.0,\n",
       " 'emfbd': 0.0,\n",
       " 'KATantiNWO': 0.0,\n",
       " 'coliciamingo': 0.0,\n",
       " 'GramaD386': 0.0,\n",
       " 'KarenLynnBNB': 0.0,\n",
       " 'RevChuckCurrie': 5.743264586456233e-07,\n",
       " 'LeahDaughtry': 0.0,\n",
       " 'sueieque52': 0.0,\n",
       " 'Evjone95': 0.0,\n",
       " 'pinklily2003': 0.0,\n",
       " 'reginaw50361': 0.0,\n",
       " 'WriterLisaO': 0.0,\n",
       " 'MoodyBrew': 0.0,\n",
       " ...}"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# betweenness centrality\n",
    "nx.betweenness_centrality(G_rt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "848e63f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               Name      Cent\n",
      "84          FoxNews  0.000026\n",
      "29   Public_Citizen  0.000009\n",
      "206     ChristiChat  0.000005\n",
      "119      guypbenson  0.000005\n",
      "362    johncardillo  0.000004\n"
     ]
    }
   ],
   "source": [
    "# printing highest centrality\n",
    "bc = nx.betweenness_centrality(G_rt)\n",
    "\n",
    "# item method to get the name of the user and the metric\n",
    "betweenness = pd.DataFrame(list(bc.items()),\n",
    "                          columns = ['Name','Cent'])\n",
    "\n",
    "print(betweenness.sort_values(\n",
    "'Cent', ascending = False).head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "5c93e564",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      NaN\n",
       "1      NaN\n",
       "2      NaN\n",
       "3      NaN\n",
       "4      NaN\n",
       "        ..\n",
       "1953   NaN\n",
       "1954   NaN\n",
       "1955   NaN\n",
       "1956   NaN\n",
       "1957   NaN\n",
       "Name: ratio, Length: 1958, dtype: float64"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "degree_rt = pd.DataFrame(list(G_rt.in_degree()),\n",
    "                        columns = ['screen_name', 'degree'])\n",
    "degree_reply = pd.DataFrame(list(G_reply.in_degree()),\n",
    "                           columns = ['screen_name', 'degree'])\n",
    "# a user or even a single tweet with a high ratio may signify that \n",
    "# the user or their tweet is deeply unpopular due to users replying in disagreement\n",
    "\n",
    "ratio = degree_rt.merge(degree_reply,\n",
    "                       on = 'screen_name',\n",
    "                       suffixes = ('_rt', '_reply'))\n",
    "\n",
    "ratio['ratio'] = ratio['degree_reply'] / ratio['degree_rt']\n",
    "ratio['ratio']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "ebc05770",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['contributors', 'coordinates', 'created_at', 'extended_entities',\n",
       "       'favorite_count', 'favorited', 'filter_level', 'geo', 'id', 'id_str',\n",
       "       'in_reply_to_screen_name', 'in_reply_to_status_id',\n",
       "       'in_reply_to_status_id_str', 'in_reply_to_user_id',\n",
       "       'in_reply_to_user_id_str', 'is_quote_status', 'lang', 'place',\n",
       "       'possibly_sensitive', 'quote_count',\n",
       "       'quoted_status-extended_tweet-full_text', 'quoted_status-text',\n",
       "       'quoted_status-user-screen_name', 'quoted_status_id',\n",
       "       'quoted_status_id_str', 'reply_count', 'retweet_count', 'retweeted',\n",
       "       'retweeted_status-extended_tweet-full_text', 'retweeted_status-text',\n",
       "       'retweeted_status-user-screen_name', 'source', 'text', 'timestamp_ms',\n",
       "       'truncated', 'user-screen_name', 'withheld_in_countries'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "retweet.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9640af4a",
   "metadata": {},
   "source": [
    "## 4. Putting Twitter data on the map\n",
    "- Geographical scope\n",
    "  - participants or observers? \n",
    "- Differentiating tweets\n",
    "  - For or against \n",
    "- Location is device-dependent: aggregate geographical to county, state-level\n",
    "  - only 1% -3% of twitter data have geographical data\n",
    "- Types \n",
    "  - twitter text (most imprecise)\n",
    "  - user location\n",
    "  - bounding boxes\n",
    "  - coordinates and points (more precise)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "1b66c806",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0      NaN\n",
      "1      NaN\n",
      "2      NaN\n",
      "3      NaN\n",
      "4      NaN\n",
      "        ..\n",
      "2335   NaN\n",
      "2336   NaN\n",
      "2337   NaN\n",
      "2338   NaN\n",
      "2339   NaN\n",
      "Name: place, Length: 2340, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(retweet['place'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "c05df716",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-80.428864 37.229291\n"
     ]
    }
   ],
   "source": [
    "# calculate the centroid\n",
    "coordinates = [\n",
    "    [-80.47611, 37.185195],\n",
    "    [-80.47611, 37.273387],\n",
    "    [-80.381618, 37.273387],\n",
    "    [-80.381618, 37.185195]\n",
    "]\n",
    "\n",
    "longs = np.unique([x[0] for x in coordinates])\n",
    "lats = np.unique([x[1] for x in coordinates])\n",
    "\n",
    "central_long = np.sum(longs) / 2\n",
    "central_lat = np.sum(lats) /2 \n",
    "\n",
    "print(central_long,central_lat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7cc4491",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculateCentroid(place):\n",
    "    \"\"\" Calculates the centroid from a bounding box.\"\"\"\n",
    "    # Obtain the coordinates from the bounding box.\n",
    "    coordinates = place['bounding_box']['coordinates'][0]\n",
    "        \n",
    "    longs = np.unique( [x[0] for x in coordinates] )\n",
    "    lats  = np.unique( [x[1] for x in coordinates] )\n",
    "\n",
    "    if len(longs) == 1 and len(lats) == 1:\n",
    "        # return a single coordinate\n",
    "        return (longs[0], lats[0])\n",
    "    elif len(longs) == 2 and len(lats) == 2:\n",
    "        # If we have two longs and lats, we have a box.\n",
    "        central_long = np.sum(longs) / 2\n",
    "        central_lat  = np.sum(lats) / 2\n",
    "    else:\n",
    "        raise ValueError(\"Non-rectangular polygon not supported: %s\" % \n",
    "            \",\".join(map(lambda x: str(x), coordinates)) )\n",
    "\n",
    "    return (central_long, central_lat)\n",
    "    \n",
    "# Calculate the centroids of place     \n",
    "centroids = retweet['place'].apply(calculateCentroid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "a49ba38b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0      NaN\n",
      "1      NaN\n",
      "2      NaN\n",
      "3      NaN\n",
      "4      NaN\n",
      "        ..\n",
      "2335   NaN\n",
      "2336   NaN\n",
      "2337   NaN\n",
      "2338   NaN\n",
      "2339   NaN\n",
      "Name: coordinates, Length: 2340, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(retweet['coordinates'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31c68e50",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Accessing bounding box\n",
    "def getBoundingBox(place):\n",
    "    \"\"\" Returns the bounding box coordinates.\"\"\"\n",
    "    return place['bounding_box']['coordinates']\n",
    "\n",
    "# Apply the function which gets bounding box coordinates\n",
    "bounding_boxes = retweet['place'].apply(getBoundingBox)\n",
    "\n",
    "# Print out the first bounding box coordinates\n",
    "print(bounding_boxes.values[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4f438bc",
   "metadata": {},
   "source": [
    "**Creating twitter maps**: Basemap\n",
    "- library for plotting two-dimensional maps\n",
    "- built on top of matplotlib\n",
    "- converts coordinates into map projections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "9665e261",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: Could not find a version that satisfies the requirement mpl_toolkits.basemap (from versions: none)\n",
      "ERROR: No matching distribution found for mpl_toolkits.basemap\n"
     ]
    }
   ],
   "source": [
    "# Beginning of Basemap\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "\n",
    "# the Mercator projection\n",
    "m = Basemap(projection = 'merc',\n",
    "           llcrnrlat = -35.62,\n",
    "           llcrnrlon = -17.29,\n",
    "           urcrnrlat = 37.73,\n",
    "           urcrnrlon = 51.39)\n",
    "\n",
    "m.fillcontinents(color = 'white')\n",
    "m.drawcoastlines(color = 'gray')\n",
    "m.drawcountries(color = 'gray')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "820e2b0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# plotting points\n",
    "\n",
    "africa = pd.read_csv('africa.csv')\n",
    "longs = africa['Capitallongtiude']\n",
    "lats = africa['Capitallatitude']\n",
    "\n",
    "m = Basemap(...)\n",
    "m.fillcontinents(color = 'white', zorder = 0)\n",
    "m.drawcostlines(color = 'gray')\n",
    "m.drawcountries(color = 'gray')\n",
    "m.scatter(long.values, \n",
    "          lats.values,\n",
    "         latlon = True, \n",
    "          c= arabic.values,\n",
    "          cmap = 'Paired',\n",
    "          alpha = 0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f037e2f",
   "metadata": {},
   "source": [
    "**Creating basemap**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "780a4efd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Import Basemap\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Set up the US bounding box\n",
    "us_boundingbox = [-125, 22, -64, 50] \n",
    "\n",
    "# Set up the Basemap object\n",
    "m = Basemap(llcrnrlon = us_boundingbox[0],\n",
    "            llcrnrlat = us_boundingbox[1],\n",
    "            urcrnrlon = us_boundingbox[2],\n",
    "            urcrnrlat = us_boundingbox[3],\n",
    "            projection='merc')\n",
    "\n",
    "# Draw continents in white,\n",
    "# coastlines and countries in gray\n",
    "m.fillcontinents(color='white')\n",
    "m.drawcoastlines(color='gray')\n",
    "m.drawcountries(color='gray')\n",
    "\n",
    "# Draw the states and show the plot\n",
    "m.drawstates(color='gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46ea6c83",
   "metadata": {},
   "source": [
    "**Plotting centroid coordinates**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a477a170",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the centroids for the dataset\n",
    "# and isolate longitudue and latitudes\n",
    "centroids = tweets_sotu['place'].apply(calculateCentroid)\n",
    "lon = [x[0] for x in centroids]\n",
    "lat = [x[1] for x in centroids]\n",
    "\n",
    "# Draw continents, coastlines, countries, and states\n",
    "m.fillcontinents(color='white', zorder = 0)\n",
    "m.drawcoastlines(color='gray')\n",
    "m.drawcountries(color='gray')\n",
    "m.drawstates(color='gray')\n",
    "\n",
    "# Draw the points and show the plot\n",
    "m.scatter(lon, lat, latlon = True, alpha = 0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "771a2628",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the centroids for the dataset\n",
    "# and isolate longitudue and latitudes\n",
    "centroids = tweets_sotu['place'].apply(calculateCentroid)\n",
    "lon = [x[0] for x in centroids]\n",
    "lat = [x[1] for x in centroids]\n",
    "\n",
    "# Draw continents, coastlines, countries, and states\n",
    "m.fillcontinents(color='white', zorder = 0)\n",
    "m.drawcoastlines(color='gray')\n",
    "m.drawcountries(color='gray')\n",
    "m.drawstates(color='gray')\n",
    "\n",
    "# Draw the points and show the plot\n",
    "m.scatter(lon, lat, latlon = True, alpha = 0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f311cbb8",
   "metadata": {},
   "source": [
    "### Next step\n",
    "- natural language processing\n",
    "- network analysis in Python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "18357480",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}