twitter_network.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "474ac200",
   "metadata": {},
   "outputs": [],
   "source": [
    "# this file provides a general example on how to analyse the twitter data using role discovery\n",
    "# other files in this project have different use cases, refer to those for in-depth analysis and explainations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "35dfd813",
   "metadata": {},
   "outputs": [],
   "source": [
    "# data processing and network processing \n",
    "import pandas as pd\n",
    "import networkx as nx\n",
    "\n",
    "# plotting\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# role extraction\n",
    "from graphrole import RecursiveFeatureExtractor, RoleExtractor\n",
    "\n",
    "# extras\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "from pprint import pprint"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b745916",
   "metadata": {},
   "source": [
    "## Data Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5373f149",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the data set\n",
    "data = pd.read_csv('data-triell.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d240bf09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16660, 3)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check data\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a3d7e971",
   "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>username_1</th>\n",
       "      <th>username_2</th>\n",
       "      <th>timestamp_s</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MetinHakverdi</td>\n",
       "      <td>Nico</td>\n",
       "      <td>1630267154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>JensZSPD</td>\n",
       "      <td>Nico</td>\n",
       "      <td>1630264243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>hschmidt</td>\n",
       "      <td>Nico</td>\n",
       "      <td>1630263176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MartinRosemann</td>\n",
       "      <td>Nico</td>\n",
       "      <td>1630264131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CarstenOvens</td>\n",
       "      <td>Nico</td>\n",
       "      <td>1630263327</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       username_1 username_2  timestamp_s\n",
       "0   MetinHakverdi       Nico   1630267154\n",
       "1        JensZSPD       Nico   1630264243\n",
       "2        hschmidt       Nico   1630263176\n",
       "3  MartinRosemann       Nico   1630264131\n",
       "4    CarstenOvens       Nico   1630263327"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check first few columns of data frame\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f7d3177",
   "metadata": {},
   "source": [
    "## Creating Network/Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9e136681",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_directed_graph(df):\n",
    "    g = nx.from_pandas_edgelist(df, source='username_1',\n",
    "                                target='username_2',\n",
    "                                create_using=nx.DiGraph())\n",
    "    return g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9098c7d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create graph based on twitter mentions from dataframe\n",
    "g = create_directed_graph(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8d3edc47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<networkx.classes.digraph.DiGraph at 0x1a68cfa2430>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g    # check graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d741006e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: \n",
      "Type: DiGraph\n",
      "Number of nodes: 4114\n",
      "Number of edges: 9949\n",
      "Average in degree:   2.4183\n",
      "Average out degree:   2.4183\n"
     ]
    }
   ],
   "source": [
    "# get info on graph\n",
    "print(nx.info(g))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "99e86577",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create subgraph (egograph) of specific node\n",
    "x = ''\n",
    "def create_subgraph():\n",
    "    \n",
    "    # user gives twitter handle as input, egograph/subgraph of the input is created\n",
    "    x = input()\n",
    "    f = nx.ego_graph(g, x, undirected=True)\n",
    "    \n",
    "    # print information of graph\n",
    "    print(nx.info(f))\n",
    "    \n",
    "    # plot created subgraphh\n",
    "    nx.draw_networkx(f, with_labels=False, node_size=200, width=2.0,\n",
    "                     node_color = ['red' if node == x else 'teal' for node in f],\n",
    "                     pos=nx.circular_layout(f))\n",
    "    \n",
    "    # print list of all nodes\n",
    "    print(list(f.nodes))\n",
    "    \n",
    "    return f"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0337dd36",
   "metadata": {},
   "source": [
    "## Role Discovery on Twitter Network "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a4837f49",
   "metadata": {},
   "outputs": [],
   "source": [
    "# extract features using graphrole library\n",
    "feature_extractor = RecursiveFeatureExtractor(g)\n",
    "features = feature_extractor.extract_features()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9dacf253",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "node_roles:\n",
      "{'00schneemann': 'role_0',\n",
      " '0815_goes_4711': 'role_0',\n",
      " '0Murat0': 'role_6',\n",
      " '0__Punkt': 'role_0',\n",
      " '0x127001': 'role_6',\n",
      " '100erneuerbar': 'role_0',\n",
      " '10DMark': 'role_0',\n",
      " '11achim71': 'role_3',\n",
      " '123Lenchen': 'role_0',\n",
      " '1893ituka': 'role_0',\n",
      " '1900HO': 'role_7',\n",
      " '1951Mann': 'role_0',\n",
      " '1964Andreasda': 'role_0',\n",
      " '1Klaudius62': 'role_6',\n",
      " '1arealtalk': 'role_0',\n",
      " '1teufelskreis': 'role_0',\n",
      " '2008_jens': 'role_0',\n",
      " '31O6926': 'role_5',\n",
      " '3697elfriedel': 'role_6',\n",
      " '4g0nm': 'role_5',\n",
      " '558d86617a41449': 'role_4',\n",
      " '6cks_': 'role_0',\n",
      " '73erStrikesBack': 'role_6',\n",
      " '7654321o': 'role_6',\n",
      " '90sChris': 'role_7',\n",
      " '98mercedes98': 'role_7',\n",
      " '99Michel99': 'role_3',\n",
      " 'A1207Sa': 'role_6',\n",
      " 'ABCWorldNews': 'role_0',\n",
      " 'ABaerbock': 'role_0',\n",
      " 'ABalsliemke': 'role_3',\n",
      " 'ADressel': 'role_2',\n",
      " 'AGBuelow': 'role_0',\n",
      " 'AGH_Berlin': 'role_0',\n",
      " 'AGStadtkerne': 'role_0',\n",
      " 'AK55828631': 'role_5',\n",
      " 'AK_Meier': 'role_0',\n",
      " 'AK__Social': 'role_6',\n",
      " 'AKaiser94789344': 'role_0',\n",
      " 'ALevermann': 'role_0',\n",
      " 'AMazzeppa': 'role_6',\n",
      " 'ANiebler': 'role_0',\n",
      " 'ANiklaus4': 'role_3',\n",
      " 'APVogt': 'role_2',\n",
      " 'APatzwahl': 'role_0',\n",
      " 'ARD_BaB': 'role_0',\n",
      " 'ARD_Presse': 'role_0',\n",
      " 'ARasilop': 'role_7',\n",
      " 'ASF_SPDFrauen': 'role_0',\n",
      " 'ASTS1972': 'role_6',\n",
      " 'ATausNRW': 'role_3',\n",
      " 'AWidmannMauz': 'role_7',\n",
      " 'AXL_0711': 'role_6',\n",
      " 'A_Schillhaneck': 'role_2',\n",
      " 'AaronClamann': 'role_0',\n",
      " 'AbdelkarimsLP': 'role_0',\n",
      " 'Absurdistan123': 'role_6',\n",
      " 'Abtreibpranger': 'role_0',\n",
      " 'AceKaiser': 'role_0',\n",
      " 'AchavaFest': 'role_0',\n",
      " 'AchimKuenzel': 'role_0',\n",
      " 'AchimStrehlke': 'role_0',\n",
      " 'Achim_P': 'role_0',\n",
      " 'AdaJakobsthal': 'role_0',\n",
      " 'Adam76769590': 'role_6',\n",
      " 'AeliaVicusPlave': 'role_0',\n",
      " 'Aennti': 'role_0',\n",
      " 'AfD': 'role_0',\n",
      " 'AfDBerlin': 'role_0',\n",
      " 'AfDFraktionAGH': 'role_0',\n",
      " 'AfDLindemann': 'role_0',\n",
      " 'AfDWahlkampf': 'role_3',\n",
      " 'AfD_Bayern': 'role_0',\n",
      " 'AfD_Muenster': 'role_0',\n",
      " 'AfD_ThL': 'role_0',\n",
      " 'AfD_Thueringen': 'role_0',\n",
      " 'AfDimBundestag': 'role_0',\n",
      " 'AfDimEUParl': 'role_0',\n",
      " 'AfdLwl': 'role_0',\n",
      " 'Afelia': 'role_0',\n",
      " 'AhmadMassoud01': 'role_0',\n",
      " 'Ahmed_chalku': 'role_5',\n",
      " 'AhnSlayrJ': 'role_0',\n",
      " 'AiasMaior': 'role_0',\n",
      " 'Aimachill': 'role_0',\n",
      " 'AisheGumus': 'role_4',\n",
      " 'Akbar_offiziell': 'role_0',\n",
      " 'AkbulutGokay': 'role_0',\n",
      " 'AkiroSchiwa': 'role_0',\n",
      " 'AlBu83': 'role_6',\n",
      " 'AlHau7': 'role_3',\n",
      " 'Albatro99108219': 'role_3',\n",
      " 'Albinogiraffe1': 'role_4',\n",
      " 'AlbrechtPallas': 'role_1',\n",
      " 'AldousLeary': 'role_7',\n",
      " 'Alece92912603': 'role_7',\n",
      " 'Aledavyd': 'role_0',\n",
      " 'AleksM85806064': 'role_5',\n",
      " 'AlexCody17': 'role_4',\n",
      " 'AlexDierksMdL': 'role_0',\n",
      " 'AlexSas31040729': 'role_6',\n",
      " 'AlexTheBike': 'role_6',\n",
      " 'AlexWallasch': 'role_0',\n",
      " 'AlexWieIchBin': 'role_3',\n",
      " 'AlexZ0283': 'role_5',\n",
      " 'Alex_Schweitzer': 'role_4',\n",
      " 'Alexand36061482': 'role_7',\n",
      " 'Alexand49766375': 'role_3',\n",
      " 'Alexand95308875': 'role_0',\n",
      " 'AlexanderLasch': 'role_4',\n",
      " 'AlexandraCarl2': 'role_7',\n",
      " 'AlexandraGeese': 'role_4',\n",
      " 'Alexandra_421': 'role_0',\n",
      " 'Alexels1512': 'role_3',\n",
      " 'AlexiaP92779533': 'role_6',\n",
      " 'Alexis_de_Lalas': 'role_6',\n",
      " 'AliCologne': 'role_0',\n",
      " 'AliHeydar15': 'role_6',\n",
      " 'AliceSpatz': 'role_0',\n",
      " 'Alice_Weidel': 'role_0',\n",
      " 'Allfor_red': 'role_4',\n",
      " 'AlpKIRCI': 'role_1',\n",
      " 'AlphaTau15': 'role_4',\n",
      " 'Alpha_Rocking': 'role_0',\n",
      " 'AlpixTM': 'role_7',\n",
      " 'AlskeFreter': 'role_4',\n",
      " 'AlternativeNRW': 'role_0',\n",
      " 'Alternativlos3': 'role_3',\n",
      " 'Ambielex1': 'role_0',\n",
      " 'AmerAcadPeds': 'role_0',\n",
      " 'AmidRabieh': 'role_0',\n",
      " 'Amira_M_Ali': 'role_7',\n",
      " 'AmrullahSaleh2': 'role_0',\n",
      " 'AnInnerConflict': 'role_6',\n",
      " 'AnLa18294437': 'role_7',\n",
      " 'AnP_Magazin': 'role_4',\n",
      " 'AndDobro': 'role_6',\n",
      " 'AndersonAfDMdEP': 'role_0',\n",
      " 'AndiThorsten': 'role_6',\n",
      " 'Andi_Wagner': 'role_2',\n",
      " 'Andie_antwortet': 'role_5',\n",
      " 'AndrMey': 'role_3',\n",
      " 'AndreBeran': 'role_3',\n",
      " 'AndreaKlieve': 'role_0',\n",
      " 'AndreaPirringer': 'role_0',\n",
      " 'Andreas22181762': 'role_0',\n",
      " 'AndreasAndy3131': 'role_0',\n",
      " 'AndreasBerle': 'role_0',\n",
      " 'AndreasKemper': 'role_0',\n",
      " 'AndreasKoristka': 'role_0',\n",
      " 'AndreasPechtold': 'role_0',\n",
      " 'AndreasSchulze': 'role_3',\n",
      " 'AndreasSprecher': 'role_0',\n",
      " 'AndreasSteier': 'role_4',\n",
      " 'Andreas_Rimkus': 'role_0',\n",
      " 'Andreas_Schwab': 'role_7',\n",
      " 'AndreoWicz': 'role_1',\n",
      " 'AndreyOldSchool': 'role_6',\n",
      " 'AndyPoettgen': 'role_0',\n",
      " 'Anemalon19': 'role_7',\n",
      " 'AngiMorstadt': 'role_3',\n",
      " 'AnjaKofbinger': 'role_4',\n",
      " 'AnjaSiegesmund': 'role_4',\n",
      " 'Anja_aaaaa': 'role_7',\n",
      " 'Anjaisonline': 'role_6',\n",
      " 'AnkeHassel': 'role_0',\n",
      " 'AnkeRehlinger': 'role_2',\n",
      " 'Anna18750705': 'role_3',\n",
      " 'AnnaDeparnay': 'role_4',\n",
      " 'AnnaGallinaHH': 'role_2',\n",
      " 'AnneWillTalk': 'role_0',\n",
      " 'Annelenen1234An': 'role_0',\n",
      " 'AnniHuber': 'role_0',\n",
      " 'AnniKlose': 'role_4',\n",
      " 'AnonymousWbw': 'role_3',\n",
      " 'AnsarBerlin': 'role_0',\n",
      " 'AnserJen': 'role_0',\n",
      " 'Anstaltsleiter': 'role_2',\n",
      " 'Anterselva1': 'role_4',\n",
      " 'AntiAlternative': 'role_0',\n",
      " 'AntiHassImNetz': 'role_6',\n",
      " 'AntjeFeiks': 'role_0',\n",
      " 'AntonKonneke': 'role_0',\n",
      " 'AntoniaNiecke': 'role_0',\n",
      " 'Aras_Nathan': 'role_0',\n",
      " 'ArfstW': 'role_3',\n",
      " 'ArioMirzaie': 'role_0',\n",
      " 'Arista53692379': 'role_0',\n",
      " 'Arizona10238417': 'role_6',\n",
      " 'Ariztizbal': 'role_0',\n",
      " 'ArminLaschet': 'role_0',\n",
      " 'ArminRoennau': 'role_6',\n",
      " 'ArminWolf': 'role_0',\n",
      " 'Arndt_Klocke': 'role_0',\n",
      " 'ArneBab': 'role_7',\n",
      " 'ArnePetersen16': 'role_5',\n",
      " 'Arne_Timm_1': 'role_5',\n",
      " 'Assisi_Project': 'role_0',\n",
      " 'AstridScharf2': 'role_0',\n",
      " 'AtlanticCouncil': 'role_0',\n",
      " 'AuerTobi': 'role_6',\n",
      " 'AugusteCalami': 'role_4',\n",
      " 'AusBine': 'role_7',\n",
      " 'AusFuzzy': 'role_0',\n",
      " 'AuschwitzMuseum': 'role_0',\n",
      " 'AuswaertigesAmt': 'role_0',\n",
      " 'AutorToto': 'role_0',\n",
      " 'AutumnAlias': 'role_5',\n",
      " 'Ava__Hirsch': 'role_5',\n",
      " 'AvonacoTV': 'role_3',\n",
      " 'Axarya': 'role_0',\n",
      " 'AxelHohl': 'role_7',\n",
      " 'AzadAyd95553825': 'role_3',\n",
      " 'BAHarburg': 'role_0',\n",
      " 'BB12_DE': 'role_0',\n",
      " 'BBem87': 'role_3',\n",
      " 'BILD': 'role_2',\n",
      " 'BILD_Politik': 'role_0',\n",
      " 'BLN_CoMeCo': 'role_7',\n",
      " 'BMAS_Bund': 'role_0',\n",
      " 'BMF_Bund': 'role_0',\n",
      " 'BMG_Bund': 'role_0',\n",
      " 'BMI_Bund': 'role_0',\n",
      " 'BMVI': 'role_0',\n",
      " 'BMVg_Bundeswehr': 'role_0',\n",
      " 'BPsteinmueller': 'role_0',\n",
      " 'BQ56168714': 'role_0',\n",
      " 'BVG_Ubahn': 'role_0',\n",
      " 'BVKJ': 'role_0',\n",
      " 'BWassertisch': 'role_0',\n",
      " 'BWjetzt': 'role_0',\n",
      " 'B_Gunners21': 'role_7',\n",
      " 'Ba5el': 'role_7',\n",
      " 'BabettZapfe': 'role_3',\n",
      " 'BachmannRudi': 'role_0',\n",
      " 'Bachsonate': 'role_6',\n",
      " 'BadTrader5': 'role_3',\n",
      " 'BadrigXt': 'role_0',\n",
      " 'BaerbelHoehn': 'role_0',\n",
      " 'BaharAslan_': 'role_0',\n",
      " 'BalkonRocker': 'role_0',\n",
      " 'Banana_Joe2': 'role_3',\n",
      " 'BandtheBears1': 'role_4',\n",
      " 'Bangeline6': 'role_7',\n",
      " 'Barbara67581170': 'role_3',\n",
      " 'BarbaraKirstein': 'role_0',\n",
      " 'BarisOenes': 'role_0',\n",
      " 'Bart1893': 'role_6',\n",
      " 'BastiGassl': 'role_3',\n",
      " 'BastianBrauns': 'role_0',\n",
      " 'Battefeld5': 'role_0',\n",
      " 'Bauchkribbeln2': 'role_3',\n",
      " 'BauerWilli_org': 'role_3',\n",
      " 'Baumpilot1': 'role_0',\n",
      " 'BavariaGangsta': 'role_3',\n",
      " 'BayernSPD': 'role_0',\n",
      " 'BayernSPD_Lndtg': 'role_0',\n",
      " 'BayernSyberella': 'role_3',\n",
      " 'BeGoodDe': 'role_0',\n",
      " 'BeSondererBlick': 'role_3',\n",
      " 'BeatePohl2': 'role_6',\n",
      " 'BeateWaRo': 'role_4',\n",
      " 'Beatriceroduner': 'role_0',\n",
      " 'Beatrix_vStorch': 'role_0',\n",
      " 'Becker_uk': 'role_0',\n",
      " 'Bee87032600': 'role_6',\n",
      " 'BeesAndHoney123': 'role_3',\n",
      " 'Behindt93065949': 'role_0',\n",
      " 'BehrischGeorge': 'role_6',\n",
      " 'BenBavarian': 'role_0',\n",
      " 'BenHope1981': 'role_3',\n",
      " 'BenJongo': 'role_6',\n",
      " 'BenWeinthal': 'role_0',\n",
      " 'Beneoster': 'role_4',\n",
      " 'BenjaminDThomas': 'role_0',\n",
      " 'BenjaminHeese': 'role_0',\n",
      " 'BenjaminHoff': 'role_0',\n",
      " 'BenniAps': 'role_0',\n",
      " 'Bennix1308': 'role_7',\n",
      " 'BentFreiwald': 'role_0',\n",
      " 'Beobach05788281': 'role_1',\n",
      " 'Beobach05943803': 'role_0',\n",
      " 'Berater_1': 'role_3',\n",
      " 'BerlinDentis1': 'role_0',\n",
      " 'BerlinElias': 'role_0',\n",
      " 'BerlinGestalter': 'role_2',\n",
      " 'BerlinGross': 'role_6',\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      " 'travelflo': 'role_0',\n",
      " 'trollopirat': 'role_0',\n",
      " 'tschlze': 'role_0',\n",
      " 'ttigger23': 'role_0',\n",
      " 'tu63867122': 'role_6',\n",
      " 'tumblraddictedm': 'role_5',\n",
      " 'turbogt3rs': 'role_6',\n",
      " 'tuxbox': 'role_3',\n",
      " 'tweets_con17': 'role_0',\n",
      " 'twiag1985': 'role_0',\n",
      " 'twisser': 'role_7',\n",
      " 'twittlik': 'role_0',\n",
      " 'twittschler': 'role_4',\n",
      " 'twogni': 'role_6',\n",
      " 'tx0h': 'role_0',\n",
      " 'tysonbarker': 'role_0',\n",
      " 'udowegener': 'role_6',\n",
      " 'uedio': 'role_0',\n",
      " 'ulfposh': 'role_0',\n",
      " 'ulixes24': 'role_3',\n",
      " 'ulle_schauws': 'role_2',\n",
      " 'ulligieseke': 'role_0',\n",
      " 'ulshoefer': 'role_0',\n",
      " 'umweltsau': 'role_6',\n",
      " 'unbeugsamenfilm': 'role_0',\n",
      " 'uninformedelde1': 'role_4',\n",
      " 'unitedfreedom3': 'role_3',\n",
      " 'uniteforfuture': 'role_7',\n",
      " 'unlogiker': 'role_3',\n",
      " 'unzensuriert': 'role_0',\n",
      " 'ursusistusus': 'role_4',\n",
      " 'urwaldpapagei11': 'role_3',\n",
      " 'useidler2': 'role_4',\n",
      " 'utabpunkt': 'role_0',\n",
      " 'utopia235': 'role_0',\n",
      " 'uwe30451143': 'role_0',\n",
      " 'uwe_kamann': 'role_0',\n",
      " 'v3rbalsalat': 'role_6',\n",
      " 'v_olberg': 'role_0',\n",
      " 'valentinschulz_': 'role_0',\n",
      " 'valeriestern_': 'role_0',\n",
      " 'vdB_Psychologie': 'role_7',\n",
      " 'ver_jorg': 'role_0',\n",
      " 'verenahubertz': 'role_0',\n",
      " 'verstand_clara': 'role_6',\n",
      " 'verusoss1': 'role_0',\n",
      " 'victorperli': 'role_4',\n",
      " 'viktor_victory': 'role_6',\n",
      " 'vinneyhouston': 'role_1',\n",
      " 'viola_kiel': 'role_0',\n",
      " 'viral_mobil': 'role_4',\n",
      " 'visionofsound': 'role_3',\n",
      " 'vitavonni': 'role_0',\n",
      " 'vmedick': 'role_0',\n",
      " 'vodionline': 'role_0',\n",
      " 'voglerk': 'role_4',\n",
      " 'volkerssohn': 'role_0',\n",
      " 'volkswagen': 'role_0',\n",
      " 'volmi6': 'role_0',\n",
      " 'vonDaeniken': 'role_0',\n",
      " 'vonDobrowolski': 'role_0',\n",
      " 'vonKleist87': 'role_3',\n",
      " 'von_Domatin': 'role_0',\n",
      " 'von_nicht': 'role_6',\n",
      " 'vonderleyen': 'role_0',\n",
      " 'vongizycki': 'role_0',\n",
      " 'vonundzupan': 'role_0',\n",
      " 'vorwaerts': 'role_1',\n",
      " 'vzhamburg': 'role_0',\n",
      " 'w1selly': 'role_3',\n",
      " 'w_schmidt': 'role_0',\n",
      " 'wagnmark': 'role_3',\n",
      " 'wahlforschung': 'role_3',\n",
      " 'walli5': 'role_3',\n",
      " 'walter_linke': 'role_0',\n",
      " 'walterweissenb5': 'role_3',\n",
      " 'wanderwitz': 'role_0',\n",
      " 'warumncht1': 'role_1',\n",
      " 'wathzmann': 'role_1',\n",
      " 'web_Theologie': 'role_0',\n",
      " 'webermannj': 'role_0',\n",
      " 'wegeheld': 'role_0',\n",
      " 'weiss_chr': 'role_6',\n",
      " 'wellcomeunited': 'role_0',\n",
      " 'wellsow': 'role_0',\n",
      " 'welt': 'role_0',\n",
      " 'weltsichten': 'role_0',\n",
      " 'welzi_original': 'role_5',\n",
      " 'wenkexin': 'role_0',\n",
      " 'wenzel_joachim': 'role_3',\n",
      " 'wernichtfragtb1': 'role_0',\n",
      " 'weserkurier': 'role_0',\n",
      " 'westfalenblatt': 'role_0',\n",
      " 'westphal': 'role_0',\n",
      " 'whitefury9': 'role_3',\n",
      " 'whitegandalf80': 'role_1',\n",
      " 'wibkegt': 'role_4',\n",
      " 'widderstand': 'role_6',\n",
      " 'wiebkewinter': 'role_0',\n",
      " 'willibald24': 'role_6',\n",
      " 'williehamburg': 'role_4',\n",
      " 'willy_wusel': 'role_0',\n",
      " 'witholli': 'role_4',\n",
      " 'wiwo': 'role_0',\n",
      " 'wldnsadb': 'role_6',\n",
      " 'wmr1704': 'role_6',\n",
      " 'woelfi69': 'role_3',\n",
      " 'woelken': 'role_4',\n",
      " 'wohooo_mp': 'role_6',\n",
      " 'wolke1231': 'role_3',\n",
      " 'worldsback2': 'role_0',\n",
      " 'worrius': 'role_7',\n",
      " 'wotanweiche': 'role_1',\n",
      " 'wuest23': 'role_6',\n",
      " 'wunder2welt': 'role_4',\n",
      " 'wupperdude': 'role_6',\n",
      " 'wurstmoped': 'role_6',\n",
      " 'wystrach': 'role_0',\n",
      " 'wznkm': 'role_4',\n",
      " 'xclsv3': 'role_0',\n",
      " 'xecon6': 'role_6',\n",
      " 'xeniaengel2020': 'role_0',\n",
      " 'xholonx': 'role_0',\n",
      " 'xileffff': 'role_0',\n",
      " 'xtp_official': 'role_3',\n",
      " 'y_marriex': 'role_5',\n",
      " 'yasminecmbarek': 'role_0',\n",
      " 'yello_de': 'role_0',\n",
      " 'ylvs': 'role_1',\n",
      " 'yogibaer02': 'role_6',\n",
      " 'yop_hans': 'role_0',\n",
      " 'yoschi147': 'role_1',\n",
      " 'yoxuxoy': 'role_6',\n",
      " 'yrthy': 'role_0',\n",
      " 'yvonnegoe1': 'role_4',\n",
      " 'zaubser': 'role_7',\n",
      " 'zebragrun': 'role_0',\n",
      " 'zeit_du': 'role_6',\n",
      " 'zeitonline': 'role_0',\n",
      " 'zeitonline_pol': 'role_0',\n",
      " 'zeleni_cz': 'role_0',\n",
      " 'zeuxis_cs': 'role_5',\n",
      " 'zooberlin': 'role_0',\n",
      " 'zukunftland': 'role_0',\n",
      " 'zvw_redaktion': 'role_0',\n",
      " 'zzurges': 'role_3'}\n",
      "\n",
      "nodepercentage:\n",
      "                role_0  role_1  role_2  role_3  role_4  role_5  role_6  role_7\n",
      "00schneemann      0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "0815_goes_4711    0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "0Murat0           0.01    0.18    0.01    0.18    0.01    0.01    0.62    0.01\n",
      "0__Punkt          0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "0x127001          0.01    0.18    0.01    0.18    0.01    0.01    0.62    0.01\n",
      "...                ...     ...     ...     ...     ...     ...     ...     ...\n",
      "zeuxis_cs         0.02    0.02    0.02    0.02    0.02    0.45    0.02    0.45\n",
      "zooberlin         0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "zukunftland       0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "zvw_redaktion     0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "zzurges           0.01    0.01    0.01    0.75    0.01    0.01    0.21    0.01\n",
      "\n",
      "[4114 rows x 8 columns]\n"
     ]
    }
   ],
   "source": [
    "# assign node roles\n",
    "role_extractor = RoleExtractor(n_roles=None)\n",
    "role_extractor.extract_role_factors(features)\n",
    "node_roles = role_extractor.roles\n",
    "\n",
    "# print list of all nodes with their role\n",
    "print('\\nnode_roles:')\n",
    "pprint(node_roles)\n",
    "\n",
    "# print each nodes percent membership to each role\n",
    "print('\\nnodepercentage:')\n",
    "print(role_extractor.role_percentage.round(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1a9fac65",
   "metadata": {},
   "outputs": [],
   "source": [
    "# build color palette for plotting\n",
    "unique_roles = sorted(set(node_roles.values()))\n",
    "color_map = sns.color_palette('Paired', n_colors=len(unique_roles))\n",
    "# map roles to colors\n",
    "role_colors = {role: color_map[i] for i, role in enumerate(unique_roles)}\n",
    "# build list of colors for all nodes in G\n",
    "node_colors = [role_colors[node_roles[node]] for node in g.nodes]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ad6f2468",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot graph\n",
    "plt.figure()\n",
    "\n",
    "with warnings.catch_warnings():\n",
    "    # catch matplotlib deprecation warning\n",
    "    warnings.simplefilter('ignore')\n",
    "    nx.draw(\n",
    "        g,\n",
    "        pos=nx.spring_layout(g),\n",
    "        with_labels=False,\n",
    "        node_color=node_colors,\n",
    "        node_size=50, width=1.0,\n",
    "    )\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# shows huge condensed graph, does not reveal much\n",
    "# better to use subgraph function provided"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "447da476",
   "metadata": {},
   "outputs": [],
   "source": [
    "# another issue: algorithm does not specify which role gets which colour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "23ef1b9f",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'nx' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-ab7a21810bc8>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mnx\u001b[0m \u001b[1;33m-\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mversion\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'nx' is not defined"
     ]
    }
   ],
   "source": [
    "nx --version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54ff1f9f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}