TwitterSpammer.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6268d383-4bf4-4e18-87bf-04fcfc0a2c3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#pip install neo4j\n",
    "#pip install networkx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9431b362-dd3c-4879-a49d-fb25c112e37b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from neo4j import GraphDatabase\n",
    "import pandas as pd\n",
    "from tabulate import tabulate\n",
    "import matplotlib\n",
    "#matplotlib.use('TkAgg')\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "21bfd9ff-7f85-44cd-a59d-ab7f10e1675f",
   "metadata": {},
   "outputs": [],
   "source": [
    "user=\"neo4j\"\n",
    "password=\"neo4j123\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "19978ec7-071a-4c7b-b37f-aa160ea0a901",
   "metadata": {},
   "outputs": [],
   "source": [
    "driver = GraphDatabase.driver(\"bolt://localhost\", auth=(user, password))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "070bc876-fe61-42dd-ac7d-5189b13622c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_result_summary(summary):\n",
    "    if summary.counters.nodes_created > 0 :\n",
    "        print(f\"Created {summary.counters.nodes_created:,d} nodes\")\n",
    "    if summary.counters.nodes_deleted > 0 :\n",
    "        print(f\"Deleted {summary.counters.nodes_deleted:,d} nodes\")\n",
    "    if summary.counters.relationships_created > 0 :\n",
    "        print(f\"Created {summary.counters.relationships_created:,d} relationships\")\n",
    "    if summary.counters.relationships_deleted > 0 :\n",
    "        print(f\"Deleted {summary.counters.relationships_deleted:,d} relationships\")\n",
    "    if summary.counters.properties_set > 0 :\n",
    "        print(f\"Set {summary.counters.properties_set:,d} properties\")\n",
    "    if summary.counters.labels_added > 0 :\n",
    "        print(f\"Added {summary.counters.labels_added:,d} labels\")\n",
    "    if summary.counters.labels_removed > 0 :\n",
    "        print(f\"Removed {summary.counters.labels_removed:,d} labels\")\n",
    "    if summary.counters.indexes_added > 0 :\n",
    "        print(f\"Added {summary.counters.indexes_added:,d} indexes\")\n",
    "    if summary.counters.indexes_removed > 0 :\n",
    "        print(f\"Removed {summary.counters.indexes_removed:,d} indexes\")\n",
    "    if summary.counters.constraints_added > 0 :\n",
    "        print(f\"Added {summary.counters.constraints_added:,d} constraints\")\n",
    "    if summary.counters.constraints_removed > 0 :\n",
    "        print(f\"Removed {summary.counters.constraints_removed:,d} constraints\")\n",
    "    if summary.counters.system_updates > 0 :\n",
    "        print(f\"Contains {summary.counters.system_updates:,d} system updates\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f70c01c8-1c70-4b3f-bd12-e1e9ef242dfb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------+---------+\n",
      "| label   |   count |\n",
      "|---------+---------|\n",
      "| Spam    |    1667 |\n",
      "| Status  |   57695 |\n",
      "| User    | 1511659 |\n",
      "+---------+---------+\n"
     ]
    }
   ],
   "source": [
    "result = {\"label\": [], \"count\": []}\n",
    "with driver.session() as session:\n",
    "    labels = [row[\"label\"] for row in session.run(\"CALL db.labels()\")]\n",
    "    for label in labels:\n",
    "        query = f\"MATCH (:`{label}`) RETURN count(*) as count\"\n",
    "        count = session.run(query).single()[\"count\"]\n",
    "        result[\"label\"].append(label)\n",
    "        result[\"count\"].append(count)\n",
    "df = pd.DataFrame(data=result)\n",
    "print(tabulate(df.sort_values(\"count\"), headers='keys',tablefmt='psql', showindex=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6284c6d-3c91-4325-9b1e-e9498dd3d8e5",
   "metadata": {},
   "source": [
    "# Sample spam statuses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b5ae6967-6b97-4499-b9b5-3579b253a89e",
   "metadata": {},
   "outputs": [],
   "source": [
    "spamQ=\"\"\"\n",
    "MATCH (s:Spam)\n",
    "WHERE s.is_retweet=0\n",
    "RETURN s.text AS status, s.is_retweet AS is_retweet, s.hashtag_count AS hashtag_count\n",
    "\"\"\"\n",
    "with driver.session() as session:\n",
    "    result = session.run(spamQ)\n",
    "    spamDf = pd.DataFrame([dict(record) for record in result])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6fc5e641-0c80-4b99-a6d4-f3bf92430098",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_colwidth', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a7e9c1c0-e15d-4637-8877-be878f8588c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                                                             🙏สวัสดีค่ะ มีใครว่างหาค่าขนมอยู่ไหมค่ะ รีวิวแน่นมากค่า\\nเค้ามีงานมาแนะนำทำง่ายค่ะแค่15-30นาที\\n\\n#chaelisa #OMGรักจังวะผิดจังหวะ #MAMA2022 #ซนซน  #OnitsukaTiger #jaeten #งานออนไลน์ได้เงินจริง https://t.co/y9iDkDA3jM\n",
      "                                                                                                                            📢สวัสดีค่ะ มีใครว่างหาค่าขนมอยู่ไหมคะ  \\nแค่15-30นาทีเค้ามีงานมาแนะนำทำง่ายๆค่ะ\\n#แอนจักรพงษ์ #MissUniverse 'Birthday' MV Teaser #หมอก้อง #คุณชายEP8 #TillyBirds https://t.co/O8kQO32pm3\n",
      "                                                              🙏สวัสดีค่ะ มีใครว่างหาค่าขนมอยู่ไหมค่ะ รีวิวแน่นมากค่า\\nเค้ามีงานมาแนะนำทำง่ายค่ะแค่15-30นาที\\n\\n#จอสไบร์ท #แอนจักรพงษ์ #ตี๋ลี่เร่อปา #chaelisa #jaeten #WhyYouYMeEP2 win x taokaenoi #ตามรอยกลรักEp3 #งานออนไลน์ไม่จํากัดอายุ https://t.co/1h2QUEQpeQ\n",
      "              แจก!!! 10velyLightStick จำนวน 1 แท่ง รีทวิต และทำการทวิตเองพร้อมข้อความและแท็ก ตามนี้ค่ะ\\nTENLEE NCTLAB OUT NOW\\n#TEN_Birthday\\nเราสุ่มแล้วเราจะโอนเงินให้แล้วไปกรอกลิงค์เองได้เลยค่ะ จะได้จัดส่งไปให้ที่บ้านเลย ฝากสตรีมน้องเบิ้ดในช่องทางที่ถนัดด้วยนะคะ สุ่มเมื่อครบ 24 ชม. https://t.co/W0X1rRUWva\n",
      "ถ้ามัวแต่เอาเวลาไปหาข้ออ้าง ก็จะไม่มีเงิน💸\\n📌หารายได้เสริม หาเงินค่าขนม\\n- ไม่ต้องโพสแนะนำ\\n- ไม่ใช่งานลูกโซ่\\n-อายุ 12 ปีก็สามารถสมัครได้ \\n- นักเรียน นักศึกษา พนักงานประจำ\\n\\n#AnandaUrbanPulse2022xBKPP #ทารกCutieDMDกลับบ้านแล้ว  #OnitsukaTiger #MEXICO66CACTFUL \\n'Birthday' Official https://t.co/4ZvDo0Bclq\n"
     ]
    }
   ],
   "source": [
    "print(spamDf['status'].head(5).to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5276200f-3cd6-4ed7-9900-072932788057",
   "metadata": {},
   "source": [
    "# Sample users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "598fb11a-0f1b-46f3-a122-31a0cc3691fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "query=\"\"\"\n",
    "MATCH (u:User)\n",
    "WHERE EXISTS( u.is_spammer )\n",
    "RETURN u.id AS id, u.description AS description,\n",
    "u.is_spammer AS is_spammer, u.friends_count AS friends_count,\n",
    "u.followers_count AS followers_count, u.favorites_count AS favorites_count,\n",
    "u.statuses_count AS statuses_count;\n",
    "\"\"\"\n",
    "with driver.session() as session:\n",
    "    result = session.run(query)\n",
    "    userDf = pd.DataFrame([dict(record) for record in result])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "59542001-5c3d-4d77-adc1-30ae51eaacdf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_5abdf\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_5abdf_level0_col0\" class=\"col_heading level0 col0\" >id</th>\n",
       "      <th id=\"T_5abdf_level0_col1\" class=\"col_heading level0 col1\" >description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_5abdf_row0_col0\" class=\"data row0 col0\" >2860686722</td>\n",
       "      <td id=\"T_5abdf_row0_col1\" class=\"data row0 col1\" >แล้วมันจะผ่านไปด้วยดี</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5abdf_row1_col0\" class=\"data row1 col0\" >3012397195</td>\n",
       "      <td id=\"T_5abdf_row1_col1\" class=\"data row1 col1\" >ได้ดีกว่าหรือแม้แต่ใกล้เคียงก็ยังไม่มี ไม่มีออปชั่นสอง ไม่มีออปชั่นสาม มันมีแต่เขาคนเดียว</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5abdf_row2_col0\" class=\"data row2 col0\" >3140473124</td>\n",
       "      <td id=\"T_5abdf_row2_col1\" class=\"data row2 col1\" >I’m always tired but never of Nong PP kubb.❤️❤️</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5abdf_row3_col0\" class=\"data row3 col0\" >947456372</td>\n",
       "      <td id=\"T_5abdf_row3_col1\" class=\"data row3 col1\" >|| BKPP : Both of us? Both of us                                           she/her //🐧 https://t.co/IRAo8lDFpT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5abdf_row4_col0\" class=\"data row4 col0\" >935425423911010304</td>\n",
       "      <td id=\"T_5abdf_row4_col1\" class=\"data row4 col1\" >เปลี่ยนมาเป็นติ่ง แอ๊คหลักแล้วเพื่อนบ่น 😅 อยากซัพพอร์ทให้เค้าได้ทำตามความฝัน #บกพพ ❤️💙</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f8af25e4100>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "userDf[['id', 'description']].head(5).style.hide(axis=\"index\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f47ed90d-445b-4b0c-a47d-c82d26ae43a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_2d97a\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_2d97a_level0_col0\" class=\"col_heading level0 col0\" >id</th>\n",
       "      <th id=\"T_2d97a_level0_col1\" class=\"col_heading level0 col1\" >description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_2d97a_row0_col0\" class=\"data row0 col0\" >2175612528</td>\n",
       "      <td id=\"T_2d97a_row0_col1\" class=\"data row0 col1\" >Waiting for #SO10 #TEN #TENLEE #텐 #เตนล์ #이영흠 #李永钦 #テン #⃝TEN #TENChittaphon #tenlee_1001 #威神V_TEN_李永钦 #NCT텐 #WayV텐 #SuperM텐 🎧 PMN https://t.co/DMl1AGta5P</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_2d97a_row1_col0\" class=\"data row1 col0\" >1574640867826335744</td>\n",
       "      <td id=\"T_2d97a_row1_col1\" class=\"data row1 col1\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_2d97a_row2_col0\" class=\"data row2 col0\" >1491730082934956032</td>\n",
       "      <td id=\"T_2d97a_row2_col1\" class=\"data row2 col1\" >สำรอง👉สนใจงานออนไลน์ | หารายได้เสริม | ติดต่อสอบถามได้ค่ะ | รับงานรีวิว|งานโปรโมท  |  ติดต่อ(งาน) DM   แอดไลน์ @281ffnej   หรือ ลิ้งค์ด้านล่าง</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_2d97a_row3_col0\" class=\"data row3 col0\" >1570664347021758464</td>\n",
       "      <td id=\"T_2d97a_row3_col1\" class=\"data row3 col1\" >📲 ทักมาสอบถามรายละเอียดก่อนได้นะคะกดลิงค์ 👉 https://t.co/JoBU63Vo0T หรือแอดไลน์ 👉  @824aeukp  (มีแอดด้วยนะคะ)💕</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_2d97a_row4_col0\" class=\"data row4 col0\" >1569619106600726528</td>\n",
       "      <td id=\"T_2d97a_row4_col1\" class=\"data row4 col1\" >💨 มีรายได้เสริม ทักมาได้ตลอด เลยนะคะ 💨          🌴 ᴏᴘᴇɴ 10.00 ᴀᴍ - 22.00 ᴘᴍ 🌴 🪺  สอบถามเพิ่มเติม https://t.co/yQtuvH8Th6  หรือ @888tyfff 🪺</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
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     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "userDf.loc[userDf['is_spammer']==1][['id', 'description']].head(5).style.hide(axis=\"index\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "844d239e-8b40-475c-b70d-ea9f000ae6c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "is_spammer\n",
       "0    24897\n",
       "1      799\n",
       "Name: is_spammer, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "userDf.groupby(['is_spammer'])['is_spammer'].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "689890f2-f257-485b-98eb-148121051695",
   "metadata": {},
   "source": [
    "# Construct NX graoh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fcd4d4c7-24b3-4ce4-a0e1-83be789c5134",
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ee0d3752-88a7-4af3-88c6-fa20635afa36",
   "metadata": {},
   "outputs": [],
   "source": [
    "#https://stackoverflow.com/questions/59289134/constructing-networkx-graph-from-neo4j-query-result\n",
    "def graph_from_cypher(results):\n",
    "    G = nx.MultiDiGraph()\n",
    "\n",
    "    nodes = list(results.graph()._nodes.values())\n",
    "    for node in nodes:\n",
    "        G.add_node(node.id, labels=node._labels, properties=node._properties)\n",
    "\n",
    "    rels = list(results.graph()._relationships.values())\n",
    "    for rel in rels:\n",
    "        G.add_edge(rel.start_node.id, rel.end_node.id, key=rel.id, type=rel.type, properties=rel._properties)\n",
    "        \n",
    "    return G"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9c2a5ba4-eb51-492e-84eb-ab4b3bb2a43c",
   "metadata": {},
   "outputs": [],
   "source": [
    "query=\"\"\"\n",
    "MATCH (u1:User)\n",
    "WHERE u1.is_spammer=1\n",
    "OPTIONAL MATCH (u1)-[r]-(u2:User)\n",
    "WHERE u2.is_spammer=1\n",
    "RETURN *\n",
    "\"\"\"\n",
    "G = graph_from_cypher(driver.session().run(query))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57a8bd3f-2619-444a-9355-6f110140cb99",
   "metadata": {},
   "source": [
    "# Visualize spammer network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5c634d1f-e6ca-459a-aed8-8dade362047f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pos = nx.spring_layout(G, iterations=10, seed=1)\n",
    "#pos= nx.nx_agraph.graphviz_layout(G)\n",
    "options = {\n",
    "    'node_color': 'red',\n",
    "#    'edge_color': 'darkblue',\n",
    "    'node_size': 10,\n",
    "#    'arrowsize': 5,\n",
    "    'arrows': False,\n",
    "    'width': 0.03\n",
    "}\n",
    "nx.draw(G, pos, **options)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9689e385-5e1c-4d43-8501-23ee3bd06256",
   "metadata": {},
   "source": [
    "# Graph projections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4fe6f38e-482d-43ad-b265-06c1f63acc83",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Graph projection: DIRECTED ###\n",
    "projection1 = \"\"\"\n",
    "CALL gds.graph.project('follows', 'User', 'FOLLOWS');\n",
    "\"\"\"\n",
    "### Graph projection: UNIDIRECTED ###\n",
    "projection2 = \"\"\"\n",
    "CALL gds.graph.project('unifollows','User',\n",
    "  {\n",
    "    FOLLOWS: {orientation: 'UNDIRECTED'}\n",
    "  });\n",
    "\"\"\"\n",
    "with driver.session() as session:\n",
    "    result1 = session.run(projection1)\n",
    "    proj1Df = pd.DataFrame([dict(record) for record in result1])\n",
    "    result2 = session.run(projection2)\n",
    "    proj2Df = pd.DataFrame([dict(record) for record in result2])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7dbe8856-7751-4698-b1f4-e284f34361e6",
   "metadata": {},
   "source": [
    "# Triangles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c2c60381-4e22-407c-a1e3-a69b31d337c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "MATCH (nonSpammer:User)-[:FOLLOWS]->(u1:User)-[:FOLLOWS]->(nonSpammer),\n",
    "(nonSpammer:User)-[:FOLLOWS]->(u2:User)-[:FOLLOWS]->(nonSpammer),\n",
    "(u1)-[:FOLLOWS]->(u2)-[:FOLLOWS]->(u1)\n",
    "WHERE u1.is_spammer=1 AND u2.is_spammer=1 AND coalesce(nonSpammer.is_spammer,0)=0\n",
    "OPTIONAL MATCH (nonSpammer)-[:TWEETS]->(s:Status)\n",
    "RETURN nonSpammer.id AS id, nonSpammer.description AS description, collect(s.text)[0] as status;\n",
    "\"\"\"\n",
    "\n",
    "with driver.session() as session:\n",
    "    result = session.run(query)\n",
    "    nonSpammerDf = pd.DataFrame([dict(record) for record in result])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "718695dd-6a62-4f04-b5a6-272d8f6334a9",
   "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>id</th>\n",
       "      <th>description</th>\n",
       "      <th>status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1567014870893350913</td>\n",
       "      <td>https://t.co/Gl7luWRUx0</td>\n",
       "      <td>RT @Pani_BrightStar: ภูมิใจในทีมแบล็คมาก เก่งม...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3169049431</td>\n",
       "      <td>ᴍʏ ꜰᴀᴠ ᴘᴇʀꜱᴏɴ ; ꒰ @wixxiws x @Earth_pirapat ꒱ ♡</td>\n",
       "      <td>RT @lunarinsummer: มาทำให้ฉันชอบ ช่วยรับผิดชอบ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1364121229477613573</td>\n",
       "      <td>🌏🪐Always​ Be​ Side​ You ﹅♥︎₊˚.Your Smile is My...</td>\n",
       "      <td>ꔣ ˖ น่ารักแบบนี้มีอีกไหม\\nอยากเก็บเอาไว้ไม่แบ่...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1395866785660899329</td>\n",
       "      <td>Always beside you➡ PIRAPAT W. ✨ แฟนต๋าคนโปรด :...</td>\n",
       "      <td>#LOVERESPONSEPRESS\\nชอบกล้องมุมนี้มากกกกกกกกกก...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1431821551574274050</td>\n",
       "      <td>None</td>\n",
       "      <td>RT @iamxploy: หัวใจดวงเดียวกัน 💗 \\n\\n#เอิร์ทมิ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1584799481823784960</td>\n",
       "      <td>🌟 มั่นคง ร่ำรวย 🌟แอดไลน์👉🏻 @huay2525</td>\n",
       "      <td>RT @huay25255: 🌟 มั่นคง จ่ายสูง จ่ายจริง\\nคลิก...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1541305885339054080</td>\n",
       "      <td>ขออนุญาตแนะนำตัวค่ะ😁 ชื่อกระถิน อายุ30+++ เป็น...</td>\n",
       "      <td>RT @AAiirinNNN: เอ็นดูเด็กเร้กทเวิค \\nพี่เอิร์...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1377672096487067649</td>\n",
       "      <td>โพแฟน @Earth_Pirapat ส่วน@Wixxiws คือลูกต๋า (ร...</td>\n",
       "      <td>RT @KhingKhing_eng: ก็อยากน่ารักให้เธอหันมา~~ ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1388115424294940672</td>\n",
       "      <td>#เอิร์ทมิกซ์</td>\n",
       "      <td>มาทำให้ฉันชอบ ไข่เจียวกรอบๆ\\nข้าวสองถ้วย\\nเข้า...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1393157249065897987</td>\n",
       "      <td>ทาสความรัก เอิร์ทมิกซ์ และเจ้าพวกแงวของเค้า</td>\n",
       "      <td>RT @f4188m: #LOVERESPONSEPRESS\\n\\nอ้าย said : ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1398436693070340100</td>\n",
       "      <td>just the way you are #เอิร์ทมิกซ์ theearth mix...</td>\n",
       "      <td>RT @techiniketuthe3: มิกซิวเเพรวพราวมาก\\n#LOVE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1435441271653294083</td>\n",
       "      <td>รักพี่เอิร์ทกะน้องมิกซ์ มากๆๆๆๆน่ะค้าบบบบ</td>\n",
       "      <td>RT @ohmretriever: ฮาตอนที่ข้าวตังแซวมือเฟิร์สว...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1448532676353277963</td>\n",
       "      <td>only love 🌏🪐 @Earth_Pirapat @wixxiws</td>\n",
       "      <td>RT @aoraena: ซิสซี่เป็นคนเลือกชวนเอิร์ทมิกมาร่...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1471843679711084549</td>\n",
       "      <td>@Earth_Pirapat @Wixxiws เข้าด้อมเพราะความหล่อ ...</td>\n",
       "      <td>:ทำท่าเมื่อเวลามีใครมาทำให้ชอบ \\nใช่หรอฮะ55555...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1477712887380541441</td>\n",
       "      <td>None</td>\n",
       "      <td>RT @iamxploy: ท่าแนะนำตัวไม่ซ้ำ 555555555 \\n\\n...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     id                                        description  \\\n",
       "0   1567014870893350913                            https://t.co/Gl7luWRUx0   \n",
       "1            3169049431    ᴍʏ ꜰᴀᴠ ᴘᴇʀꜱᴏɴ ; ꒰ @wixxiws x @Earth_pirapat ꒱ ♡   \n",
       "2   1364121229477613573  🌏🪐Always​ Be​ Side​ You ﹅♥︎₊˚.Your Smile is My...   \n",
       "3   1395866785660899329  Always beside you➡ PIRAPAT W. ✨ แฟนต๋าคนโปรด :...   \n",
       "4   1431821551574274050                                               None   \n",
       "5   1584799481823784960               🌟 มั่นคง ร่ำรวย 🌟แอดไลน์👉🏻 @huay2525   \n",
       "6   1541305885339054080  ขออนุญาตแนะนำตัวค่ะ😁 ชื่อกระถิน อายุ30+++ เป็น...   \n",
       "7   1377672096487067649  โพแฟน @Earth_Pirapat ส่วน@Wixxiws คือลูกต๋า (ร...   \n",
       "8   1388115424294940672                                       #เอิร์ทมิกซ์   \n",
       "9   1393157249065897987        ทาสความรัก เอิร์ทมิกซ์ และเจ้าพวกแงวของเค้า   \n",
       "10  1398436693070340100  just the way you are #เอิร์ทมิกซ์ theearth mix...   \n",
       "11  1435441271653294083          รักพี่เอิร์ทกะน้องมิกซ์ มากๆๆๆๆน่ะค้าบบบบ   \n",
       "12  1448532676353277963               only love 🌏🪐 @Earth_Pirapat @wixxiws   \n",
       "13  1471843679711084549  @Earth_Pirapat @Wixxiws เข้าด้อมเพราะความหล่อ ...   \n",
       "14  1477712887380541441                                               None   \n",
       "\n",
       "                                               status  \n",
       "0   RT @Pani_BrightStar: ภูมิใจในทีมแบล็คมาก เก่งม...  \n",
       "1   RT @lunarinsummer: มาทำให้ฉันชอบ ช่วยรับผิดชอบ...  \n",
       "2   ꔣ ˖ น่ารักแบบนี้มีอีกไหม\\nอยากเก็บเอาไว้ไม่แบ่...  \n",
       "3   #LOVERESPONSEPRESS\\nชอบกล้องมุมนี้มากกกกกกกกกก...  \n",
       "4   RT @iamxploy: หัวใจดวงเดียวกัน 💗 \\n\\n#เอิร์ทมิ...  \n",
       "5   RT @huay25255: 🌟 มั่นคง จ่ายสูง จ่ายจริง\\nคลิก...  \n",
       "6   RT @AAiirinNNN: เอ็นดูเด็กเร้กทเวิค \\nพี่เอิร์...  \n",
       "7   RT @KhingKhing_eng: ก็อยากน่ารักให้เธอหันมา~~ ...  \n",
       "8   มาทำให้ฉันชอบ ไข่เจียวกรอบๆ\\nข้าวสองถ้วย\\nเข้า...  \n",
       "9   RT @f4188m: #LOVERESPONSEPRESS\\n\\nอ้าย said : ...  \n",
       "10  RT @techiniketuthe3: มิกซิวเเพรวพราวมาก\\n#LOVE...  \n",
       "11  RT @ohmretriever: ฮาตอนที่ข้าวตังแซวมือเฟิร์สว...  \n",
       "12  RT @aoraena: ซิสซี่เป็นคนเลือกชวนเอิร์ทมิกมาร่...  \n",
       "13  :ทำท่าเมื่อเวลามีใครมาทำให้ชอบ \\nใช่หรอฮะ55555...  \n",
       "14  RT @iamxploy: ท่าแนะนำตัวไม่ซ้ำ 555555555 \\n\\n...  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nonSpammerDf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25df3005-4700-4c16-8757-3a31347dad0f",
   "metadata": {},
   "source": [
    "# Community Detections - Louvain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "82ac9dba-0957-425e-b2ea-877fa0894d6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Run Louvain algorithm ###\n",
    "query = \"\"\"\n",
    "CALL gds.louvain.write('follows', { writeProperty: 'louvainId' })\n",
    "YIELD communityCount, modularity, modularities\n",
    "\"\"\"\n",
    "with driver.session() as session:\n",
    "    result = session.run(query)\n",
    "    df = pd.DataFrame([dict(record) for record in result])\n",
    "    print_result_summary(result.consume())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "44aea147-dfc0-4c20-95e5-465282b939fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "MATCH (u:User)\n",
    "WITH u.louvainId AS communityId, count(u) AS size, COLLECT(id(u)) AS ids,\n",
    "sum(u.is_spammer) as spammer_count\n",
    "MATCH (u1:User)-[r]-(u2:User)\n",
    "WHERE id(u1) IN ids AND id(u2) IN ids\n",
    "RETURN communityId, size, COUNT(distinct r)*1.0/(size*(size-1)) AS relationship_density,\n",
    "spammer_count, spammer_count*100/size as spammer_ratio\n",
    "ORDER BY size DESC LIMIT 40\n",
    "\"\"\"\n",
    "with driver.session() as session:\n",
    "    result = session.run(query)\n",
    "    louvainDf = pd.DataFrame([dict(record) for record in result])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d9bfe479-04a0-4f95-aeee-242017052555",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th class=\"blank level0\" >&nbsp;</th>\n",
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       "      <td id=\"T_54810_row11_col3\" class=\"data row11 col3\" >3</td>\n",
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       "      <td id=\"T_54810_row12_col2\" class=\"data row12 col2\" >0.039415</td>\n",
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       "      <th id=\"T_54810_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
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       "      <th id=\"T_54810_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
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       "      <td id=\"T_54810_row14_col1\" class=\"data row14 col1\" >690</td>\n",
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       "      <td id=\"T_54810_row14_col4\" class=\"data row14 col4\" >0</td>\n",
       "    </tr>\n",
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       "      <th id=\"T_54810_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
       "      <td id=\"T_54810_row15_col0\" class=\"data row15 col0\" >203478</td>\n",
       "      <td id=\"T_54810_row15_col1\" class=\"data row15 col1\" >600</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
       "      <td id=\"T_54810_row16_col0\" class=\"data row16 col0\" >150601</td>\n",
       "      <td id=\"T_54810_row16_col1\" class=\"data row16 col1\" >584</td>\n",
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       "      <td id=\"T_54810_row16_col4\" class=\"data row16 col4\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
       "      <td id=\"T_54810_row17_col0\" class=\"data row17 col0\" >179066</td>\n",
       "      <td id=\"T_54810_row17_col1\" class=\"data row17 col1\" >482</td>\n",
       "      <td id=\"T_54810_row17_col2\" class=\"data row17 col2\" >0.098455</td>\n",
       "      <td id=\"T_54810_row17_col3\" class=\"data row17 col3\" >1</td>\n",
       "      <td id=\"T_54810_row17_col4\" class=\"data row17 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
       "      <td id=\"T_54810_row18_col0\" class=\"data row18 col0\" >390358</td>\n",
       "      <td id=\"T_54810_row18_col1\" class=\"data row18 col1\" >467</td>\n",
       "      <td id=\"T_54810_row18_col2\" class=\"data row18 col2\" >0.039697</td>\n",
       "      <td id=\"T_54810_row18_col3\" class=\"data row18 col3\" >7</td>\n",
       "      <td id=\"T_54810_row18_col4\" class=\"data row18 col4\" >1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
       "      <td id=\"T_54810_row19_col0\" class=\"data row19 col0\" >272986</td>\n",
       "      <td id=\"T_54810_row19_col1\" class=\"data row19 col1\" >429</td>\n",
       "      <td id=\"T_54810_row19_col2\" class=\"data row19 col2\" >0.068274</td>\n",
       "      <td id=\"T_54810_row19_col3\" class=\"data row19 col3\" >8</td>\n",
       "      <td id=\"T_54810_row19_col4\" class=\"data row19 col4\" >1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
       "      <td id=\"T_54810_row20_col0\" class=\"data row20 col0\" >19629</td>\n",
       "      <td id=\"T_54810_row20_col1\" class=\"data row20 col1\" >381</td>\n",
       "      <td id=\"T_54810_row20_col2\" class=\"data row20 col2\" >0.104068</td>\n",
       "      <td id=\"T_54810_row20_col3\" class=\"data row20 col3\" >0</td>\n",
       "      <td id=\"T_54810_row20_col4\" class=\"data row20 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
       "      <td id=\"T_54810_row21_col0\" class=\"data row21 col0\" >145682</td>\n",
       "      <td id=\"T_54810_row21_col1\" class=\"data row21 col1\" >375</td>\n",
       "      <td id=\"T_54810_row21_col2\" class=\"data row21 col2\" >0.011900</td>\n",
       "      <td id=\"T_54810_row21_col3\" class=\"data row21 col3\" >0</td>\n",
       "      <td id=\"T_54810_row21_col4\" class=\"data row21 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
       "      <td id=\"T_54810_row22_col0\" class=\"data row22 col0\" >59025</td>\n",
       "      <td id=\"T_54810_row22_col1\" class=\"data row22 col1\" >358</td>\n",
       "      <td id=\"T_54810_row22_col2\" class=\"data row22 col2\" >0.023958</td>\n",
       "      <td id=\"T_54810_row22_col3\" class=\"data row22 col3\" >1</td>\n",
       "      <td id=\"T_54810_row22_col4\" class=\"data row22 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
       "      <td id=\"T_54810_row23_col0\" class=\"data row23 col0\" >40295</td>\n",
       "      <td id=\"T_54810_row23_col1\" class=\"data row23 col1\" >335</td>\n",
       "      <td id=\"T_54810_row23_col2\" class=\"data row23 col2\" >0.020869</td>\n",
       "      <td id=\"T_54810_row23_col3\" class=\"data row23 col3\" >3</td>\n",
       "      <td id=\"T_54810_row23_col4\" class=\"data row23 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
       "      <td id=\"T_54810_row24_col0\" class=\"data row24 col0\" >431067</td>\n",
       "      <td id=\"T_54810_row24_col1\" class=\"data row24 col1\" >324</td>\n",
       "      <td id=\"T_54810_row24_col2\" class=\"data row24 col2\" >0.057151</td>\n",
       "      <td id=\"T_54810_row24_col3\" class=\"data row24 col3\" >0</td>\n",
       "      <td id=\"T_54810_row24_col4\" class=\"data row24 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
       "      <td id=\"T_54810_row25_col0\" class=\"data row25 col0\" >145900</td>\n",
       "      <td id=\"T_54810_row25_col1\" class=\"data row25 col1\" >311</td>\n",
       "      <td id=\"T_54810_row25_col2\" class=\"data row25 col2\" >0.020734</td>\n",
       "      <td id=\"T_54810_row25_col3\" class=\"data row25 col3\" >2</td>\n",
       "      <td id=\"T_54810_row25_col4\" class=\"data row25 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
       "      <td id=\"T_54810_row26_col0\" class=\"data row26 col0\" >135543</td>\n",
       "      <td id=\"T_54810_row26_col1\" class=\"data row26 col1\" >311</td>\n",
       "      <td id=\"T_54810_row26_col2\" class=\"data row26 col2\" >0.019376</td>\n",
       "      <td id=\"T_54810_row26_col3\" class=\"data row26 col3\" >0</td>\n",
       "      <td id=\"T_54810_row26_col4\" class=\"data row26 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
       "      <td id=\"T_54810_row27_col0\" class=\"data row27 col0\" >299816</td>\n",
       "      <td id=\"T_54810_row27_col1\" class=\"data row27 col1\" >307</td>\n",
       "      <td id=\"T_54810_row27_col2\" class=\"data row27 col2\" >0.038790</td>\n",
       "      <td id=\"T_54810_row27_col3\" class=\"data row27 col3\" >0</td>\n",
       "      <td id=\"T_54810_row27_col4\" class=\"data row27 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
       "      <td id=\"T_54810_row28_col0\" class=\"data row28 col0\" >437529</td>\n",
       "      <td id=\"T_54810_row28_col1\" class=\"data row28 col1\" >306</td>\n",
       "      <td id=\"T_54810_row28_col2\" class=\"data row28 col2\" >0.291375</td>\n",
       "      <td id=\"T_54810_row28_col3\" class=\"data row28 col3\" >0</td>\n",
       "      <td id=\"T_54810_row28_col4\" class=\"data row28 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
       "      <td id=\"T_54810_row29_col0\" class=\"data row29 col0\" >139004</td>\n",
       "      <td id=\"T_54810_row29_col1\" class=\"data row29 col1\" >303</td>\n",
       "      <td id=\"T_54810_row29_col2\" class=\"data row29 col2\" >0.023856</td>\n",
       "      <td id=\"T_54810_row29_col3\" class=\"data row29 col3\" >1</td>\n",
       "      <td id=\"T_54810_row29_col4\" class=\"data row29 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
       "      <td id=\"T_54810_row30_col0\" class=\"data row30 col0\" >12949</td>\n",
       "      <td id=\"T_54810_row30_col1\" class=\"data row30 col1\" >289</td>\n",
       "      <td id=\"T_54810_row30_col2\" class=\"data row30 col2\" >0.140439</td>\n",
       "      <td id=\"T_54810_row30_col3\" class=\"data row30 col3\" >0</td>\n",
       "      <td id=\"T_54810_row30_col4\" class=\"data row30 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
       "      <td id=\"T_54810_row31_col0\" class=\"data row31 col0\" >19681</td>\n",
       "      <td id=\"T_54810_row31_col1\" class=\"data row31 col1\" >286</td>\n",
       "      <td id=\"T_54810_row31_col2\" class=\"data row31 col2\" >0.019580</td>\n",
       "      <td id=\"T_54810_row31_col3\" class=\"data row31 col3\" >0</td>\n",
       "      <td id=\"T_54810_row31_col4\" class=\"data row31 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
       "      <td id=\"T_54810_row32_col0\" class=\"data row32 col0\" >135537</td>\n",
       "      <td id=\"T_54810_row32_col1\" class=\"data row32 col1\" >247</td>\n",
       "      <td id=\"T_54810_row32_col2\" class=\"data row32 col2\" >0.033047</td>\n",
       "      <td id=\"T_54810_row32_col3\" class=\"data row32 col3\" >1</td>\n",
       "      <td id=\"T_54810_row32_col4\" class=\"data row32 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
       "      <td id=\"T_54810_row33_col0\" class=\"data row33 col0\" >352562</td>\n",
       "      <td id=\"T_54810_row33_col1\" class=\"data row33 col1\" >191</td>\n",
       "      <td id=\"T_54810_row33_col2\" class=\"data row33 col2\" >0.188371</td>\n",
       "      <td id=\"T_54810_row33_col3\" class=\"data row33 col3\" >177</td>\n",
       "      <td id=\"T_54810_row33_col4\" class=\"data row33 col4\" >92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
       "      <td id=\"T_54810_row34_col0\" class=\"data row34 col0\" >667792</td>\n",
       "      <td id=\"T_54810_row34_col1\" class=\"data row34 col1\" >182</td>\n",
       "      <td id=\"T_54810_row34_col2\" class=\"data row34 col2\" >0.025773</td>\n",
       "      <td id=\"T_54810_row34_col3\" class=\"data row34 col3\" >0</td>\n",
       "      <td id=\"T_54810_row34_col4\" class=\"data row34 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
       "      <td id=\"T_54810_row35_col0\" class=\"data row35 col0\" >14054</td>\n",
       "      <td id=\"T_54810_row35_col1\" class=\"data row35 col1\" >166</td>\n",
       "      <td id=\"T_54810_row35_col2\" class=\"data row35 col2\" >0.043994</td>\n",
       "      <td id=\"T_54810_row35_col3\" class=\"data row35 col3\" >0</td>\n",
       "      <td id=\"T_54810_row35_col4\" class=\"data row35 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
       "      <td id=\"T_54810_row36_col0\" class=\"data row36 col0\" >138919</td>\n",
       "      <td id=\"T_54810_row36_col1\" class=\"data row36 col1\" >163</td>\n",
       "      <td id=\"T_54810_row36_col2\" class=\"data row36 col2\" >0.035144</td>\n",
       "      <td id=\"T_54810_row36_col3\" class=\"data row36 col3\" >1</td>\n",
       "      <td id=\"T_54810_row36_col4\" class=\"data row36 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
       "      <td id=\"T_54810_row37_col0\" class=\"data row37 col0\" >136084</td>\n",
       "      <td id=\"T_54810_row37_col1\" class=\"data row37 col1\" >155</td>\n",
       "      <td id=\"T_54810_row37_col2\" class=\"data row37 col2\" >0.029828</td>\n",
       "      <td id=\"T_54810_row37_col3\" class=\"data row37 col3\" >0</td>\n",
       "      <td id=\"T_54810_row37_col4\" class=\"data row37 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
       "      <td id=\"T_54810_row38_col0\" class=\"data row38 col0\" >28898</td>\n",
       "      <td id=\"T_54810_row38_col1\" class=\"data row38 col1\" >148</td>\n",
       "      <td id=\"T_54810_row38_col2\" class=\"data row38 col2\" >0.044953</td>\n",
       "      <td id=\"T_54810_row38_col3\" class=\"data row38 col3\" >0</td>\n",
       "      <td id=\"T_54810_row38_col4\" class=\"data row38 col4\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54810_level0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
       "      <td id=\"T_54810_row39_col0\" class=\"data row39 col0\" >653258</td>\n",
       "      <td id=\"T_54810_row39_col1\" class=\"data row39 col1\" >142</td>\n",
       "      <td id=\"T_54810_row39_col2\" class=\"data row39 col2\" >0.021776</td>\n",
       "      <td id=\"T_54810_row39_col3\" class=\"data row39 col3\" >1</td>\n",
       "      <td id=\"T_54810_row39_col4\" class=\"data row39 col4\" >0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f820c593cd0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "louvainDf.style.format({\n",
    "    \"size\": \"{:,.0f}\",\n",
    "}).highlight_max(['relationship_density','spammer_count', 'spammer_ratio'], color='red')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56fa5e03-af54-4bc6-9d49-401f6bbd14fa",
   "metadata": {},
   "source": [
    "# Communities with more than 50% are spammers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "08d4e142-867f-47ff-acd0-b99e71adb32a",
   "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>communityId</th>\n",
       "      <th>size</th>\n",
       "      <th>spammer_count</th>\n",
       "      <th>spammer_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>352562</td>\n",
       "      <td>191</td>\n",
       "      <td>177</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    communityId  size  spammer_count  spammer_ratio\n",
       "33       352562   191            177             92"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "louvainDf[louvainDf['spammer_ratio']>=50].sort_values(by='spammer_ratio', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f92c17a9-61aa-497a-8077-eed419b79139",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "352562"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spammer_community=louvainDf[louvainDf['spammer_ratio']>=50].sort_values(by='spammer_ratio', ascending=False)['communityId'].values[0]\n",
    "spammer_community=int(spammer_community)\n",
    "spammer_community"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82771cf2-d0ef-46ea-b6b0-96514c956f7a",
   "metadata": {},
   "source": [
    "# Find non-spammers in the community"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3d4cc6b5-03e7-409e-bd8b-0c5e2cead5e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Users in the community ###\n",
    "query = \"\"\"\n",
    "MATCH (u:User)\n",
    "WHERE u.louvainId=$spammer_community\n",
    "OPTIONAL MATCH (u)-[:TWEETS]->(s:Status)\n",
    "RETURN distinct u.id AS id,\n",
    "coalesce(u.is_spammer, 0) AS is_spammer,\n",
    "u.description AS description, collect(s.text)[0] AS Tweet;\n",
    "\"\"\"\n",
    "params={\"spammer_community\": spammer_community}\n",
    "with driver.session() as session:\n",
    "    result = session.run(query, params)\n",
    "    userDf2 = pd.DataFrame([dict(record) for record in result])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "6f931def-b9fb-419b-beb4-3f62f4272c05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_279ef\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_279ef_level0_col0\" class=\"col_heading level0 col0\" >id</th>\n",
       "      <th id=\"T_279ef_level0_col1\" class=\"col_heading level0 col1\" >description</th>\n",
       "      <th id=\"T_279ef_level0_col2\" class=\"col_heading level0 col2\" >Tweet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row0_col0\" class=\"data row0 col0\" >1567014870893350912</td>\n",
       "      <td id=\"T_279ef_row0_col1\" class=\"data row0 col1\" >https://t.co/Gl7luWRUx0</td>\n",
       "      <td id=\"T_279ef_row0_col2\" class=\"data row0 col2\" >RT @Pani_BrightStar: ภูมิใจในทีมแบล็คมาก เก่งมาก วันนี้มันส์สุดๆ พี่จอสโครตเก่ง กองเชียร์กองใจ แน่นเว่อร์ สุดยอดเลยทุกคน🖤🥰\n",
       "#10fight10ss3XJo…</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row1_col0\" class=\"data row1 col0\" >1134645062019604480</td>\n",
       "      <td id=\"T_279ef_row1_col1\" class=\"data row1 col1\" >I remember 🐧</td>\n",
       "      <td id=\"T_279ef_row1_col2\" class=\"data row1 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row2_col0\" class=\"data row2 col0\" >1582695499031023616</td>\n",
       "      <td id=\"T_279ef_row2_col1\" class=\"data row2 col1\" >สำรอง👉สนใจงานออนไลน์ | หารายได้เสริม | ติดต่อสอบถามได้ค่ะ | รับงานรีวิว|งานโปรโมท  |  ติดต่อ(งาน) DM หรือ ลิ้งค์ด้านล่าง</td>\n",
       "      <td id=\"T_279ef_row2_col2\" class=\"data row2 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row3_col0\" class=\"data row3 col0\" >1578253305448652800</td>\n",
       "      <td id=\"T_279ef_row3_col1\" class=\"data row3 col1\" >สนใจติดต่อยื่นสินเชื่อ คลิก https://t.co/9oEyLSExqv</td>\n",
       "      <td id=\"T_279ef_row3_col2\" class=\"data row3 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row4_col0\" class=\"data row4 col0\" >1574761452980023296</td>\n",
       "      <td id=\"T_279ef_row4_col1\" class=\"data row4 col1\" >ใครที่อยากหาค่าขนมเชิญทางนี้เลยจ้าา 👉 https://t.co/sVLHaFY5vv หรือ  @541cvbwt   มี(@) ด้วยค่ะ</td>\n",
       "      <td id=\"T_279ef_row4_col2\" class=\"data row4 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row5_col0\" class=\"data row5 col0\" >1568930552241332224</td>\n",
       "      <td id=\"T_279ef_row5_col1\" class=\"data row5 col1\" >สนใจงานรายได้เสริมแอด @111dprux มีแอดด้วยนะคะ หรือคลิก https://t.co/DQVJj2zkrS</td>\n",
       "      <td id=\"T_279ef_row5_col2\" class=\"data row5 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row6_col0\" class=\"data row6 col0\" >1573948858203136000</td>\n",
       "      <td id=\"T_279ef_row6_col1\" class=\"data row6 col1\" >สนใจงานรายได้เสริมแอด @111dprux มีแอดด้วยนะคะ หรือคลิก https://t.co/4jcuoV9zfh</td>\n",
       "      <td id=\"T_279ef_row6_col2\" class=\"data row6 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row7_col0\" class=\"data row7 col0\" >1570259161073717248</td>\n",
       "      <td id=\"T_279ef_row7_col1\" class=\"data row7 col1\" >สนใจงานรายได้เสริมแอด @818mfzhf มีแอดด้วยนะคะ หรือคลิก https://t.co/DBKyEJ1v1n</td>\n",
       "      <td id=\"T_279ef_row7_col2\" class=\"data row7 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row8_col0\" class=\"data row8 col0\" >1577887783863013376</td>\n",
       "      <td id=\"T_279ef_row8_col1\" class=\"data row8 col1\" >สนใจงานรายได้เสริมแอด @743lhfkd มีแอดด้วยนะคะ หรือคลิกhttps://t.co/oQpSpn6Wyh</td>\n",
       "      <td id=\"T_279ef_row8_col2\" class=\"data row8 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row9_col0\" class=\"data row9 col0\" >1578308283546279936</td>\n",
       "      <td id=\"T_279ef_row9_col1\" class=\"data row9 col1\" >ตัวเองสามารถแอดไลน์เข้าไปสอบถามเพิ่มเติมได้น๊าาาาาาาาาา  สนใจแอดไลน์👉 https://t.co/RhNO9A5UE5</td>\n",
       "      <td id=\"T_279ef_row9_col2\" class=\"data row9 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row10_col0\" class=\"data row10 col0\" >1572151432769576960</td>\n",
       "      <td id=\"T_279ef_row10_col1\" class=\"data row10 col1\" >ºO•❤•.¸✿¸.•❤•.❀• ฉลามงับ•❀.•❤•.¸✿¸.•❤•Oº</td>\n",
       "      <td id=\"T_279ef_row10_col2\" class=\"data row10 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row11_col0\" class=\"data row11 col0\" >1568922197493956608</td>\n",
       "      <td id=\"T_279ef_row11_col1\" class=\"data row11 col1\" >ใครที่อยากหาค่าขนมเชิญทางนี้เลยจ้าา 👉 https://t.co/cpFLhxo6Sa หรือ @194zjnbe  มี(@) ด้วยค่ะ</td>\n",
       "      <td id=\"T_279ef_row11_col2\" class=\"data row11 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row12_col0\" class=\"data row12 col0\" >1567093530744754176</td>\n",
       "      <td id=\"T_279ef_row12_col1\" class=\"data row12 col1\" >คลิกที่ลิงค์ไลน์ได้เลยจ้าา 😍 https://t.co/fYrvyXwt7y</td>\n",
       "      <td id=\"T_279ef_row12_col2\" class=\"data row12 col2\" >None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_279ef_row13_col0\" class=\"data row13 col0\" >1567019279148806144</td>\n",
       "      <td id=\"T_279ef_row13_col1\" class=\"data row13 col1\" >None</td>\n",
       "      <td id=\"T_279ef_row13_col2\" class=\"data row13 col2\" >None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f8aef995f70>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "userDf2.loc[userDf2['is_spammer']==0][['id', 'description', 'Tweet']].style.hide(axis=\"index\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87b49299-ba96-460d-bd6a-8f12b1542667",
   "metadata": {},
   "source": [
    "# Communities with top users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "faccf21d-76bc-4033-83eb-4545b2a49c5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "MATCH (u:User)\n",
    "WITH u.louvainId AS communityId, count(u) AS size, sum(u.is_spammer) as spammer_count, COLLECT(id(u)) AS ids\n",
    "CALL {\n",
    "WITH ids\n",
    "CALL gds.pageRank.stream('follows', {sourceNodes:ids })\n",
    "YIELD nodeId, score\n",
    "WITH gds.util.asNode(nodeId) AS topUser, score AS score\n",
    "WHERE topUser.followers_count >= 100000\n",
    "WITH topUser, score\n",
    "ORDER BY score DESC LIMIT 3\n",
    "RETURN COLLECT(topUser.screen_name) AS topUsers\n",
    "}\n",
    "RETURN communityId, size, spammer_count, topUsers AS topUsers\n",
    "ORDER BY size DESC LIMIT 40;\n",
    "\"\"\"\n",
    "with driver.session() as session:\n",
    "    result = session.run(query)\n",
    "    louvainDf = pd.DataFrame([dict(record) for record in result])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e53c07fc-e19c-4b0d-b74e-b4ac9e468d91",
   "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>communityId</th>\n",
       "      <th>size</th>\n",
       "      <th>spammer_count</th>\n",
       "      <th>topUsers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135279</td>\n",
       "      <td>2692</td>\n",
       "      <td>455</td>\n",
       "      <td>[netflixth, JacksonWang852, THarmharm]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>142521</td>\n",
       "      <td>2403</td>\n",
       "      <td>7</td>\n",
       "      <td>[NCTsmtown, WayV_official, Ten_TH]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>163620</td>\n",
       "      <td>2247</td>\n",
       "      <td>1</td>\n",
       "      <td>[CwrNew, zee_pruk, DomundiTV]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>138600</td>\n",
       "      <td>2058</td>\n",
       "      <td>8</td>\n",
       "      <td>[GMMTV, bbrightvc, winmetawin]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>149297</td>\n",
       "      <td>1664</td>\n",
       "      <td>2</td>\n",
       "      <td>[gulfkanawut, MSuppasit, Gulfkanawutofc]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>155276</td>\n",
       "      <td>1559</td>\n",
       "      <td>5</td>\n",
       "      <td>[BamBam1A, GOT7, marktuan]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>14057</td>\n",
       "      <td>1543</td>\n",
       "      <td>6</td>\n",
       "      <td>[LILITEAMTH327, BLACKPINK, BamBam1A]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>162057</td>\n",
       "      <td>1454</td>\n",
       "      <td>7</td>\n",
       "      <td>[BTS_twt, _candyclover, bts_bighit]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>15366</td>\n",
       "      <td>1323</td>\n",
       "      <td>1</td>\n",
       "      <td>[warwanarat, yinyin_anw, aunzajung]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>200271</td>\n",
       "      <td>913</td>\n",
       "      <td>0</td>\n",
       "      <td>[bb0un, Prem_space, wabisabiTH]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>163629</td>\n",
       "      <td>835</td>\n",
       "      <td>0</td>\n",
       "      <td>[milephakphum, Nnattawin1, beoncloud_th]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>135202</td>\n",
       "      <td>808</td>\n",
       "      <td>3</td>\n",
       "      <td>[third_n, jackiejackrin, 4NOLOGUE]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>134694</td>\n",
       "      <td>762</td>\n",
       "      <td>2</td>\n",
       "      <td>[ppkritt, ppkritt_fc, nongderrr]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>138902</td>\n",
       "      <td>700</td>\n",
       "      <td>0</td>\n",
       "      <td>[shxx131bi131, treasuremembers, 131online]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>19945</td>\n",
       "      <td>690</td>\n",
       "      <td>0</td>\n",
       "      <td>[winmetawin, _opywpyy_, bbrightvc]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>203478</td>\n",
       "      <td>600</td>\n",
       "      <td>3</td>\n",
       "      <td>[peckpalit, ToeiiSiri, ChinChinawut]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>150601</td>\n",
       "      <td>584</td>\n",
       "      <td>19</td>\n",
       "      <td>[sfkkfs_, yoxrgravity, itmydefinition]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>179066</td>\n",
       "      <td>482</td>\n",
       "      <td>1</td>\n",
       "      <td>[TelegraphDucker, theafcdotcom, ManoodTingJeen]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>390358</td>\n",
       "      <td>467</td>\n",
       "      <td>7</td>\n",
       "      <td>[itscharlotty, EWaraha, daaddeaw1]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>272986</td>\n",
       "      <td>429</td>\n",
       "      <td>8</td>\n",
       "      <td>[EarthOfficialFC, wixxiws, Earth_Pirapat]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>19629</td>\n",
       "      <td>381</td>\n",
       "      <td>0</td>\n",
       "      <td>[Astrostuffs_TH, bbrightvc, salaleyoo__]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>145682</td>\n",
       "      <td>375</td>\n",
       "      <td>0</td>\n",
       "      <td>[Horo4you, old_xian, winkwink_store]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>59025</td>\n",
       "      <td>358</td>\n",
       "      <td>1</td>\n",
       "      <td>[ENHYPEN_members, ENHYPEN, ENHYPEN_JP]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>40295</td>\n",
       "      <td>335</td>\n",
       "      <td>3</td>\n",
       "      <td>[jaomaecaption, IVEstarship, IVE_twt]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>431067</td>\n",
       "      <td>324</td>\n",
       "      <td>0</td>\n",
       "      <td>[bnk48official, klinnangsue, ShopeeTH]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>145900</td>\n",
       "      <td>311</td>\n",
       "      <td>2</td>\n",
       "      <td>[Viviennewonder, brinkkty, Dinkem321]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>135543</td>\n",
       "      <td>311</td>\n",
       "      <td>0</td>\n",
       "      <td>[Korseries, KSeriesAD, Khunnie0624]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>299816</td>\n",
       "      <td>307</td>\n",
       "      <td>0</td>\n",
       "      <td>[AngelssBecky, cat_auras, forsapphic]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>437529</td>\n",
       "      <td>306</td>\n",
       "      <td>0</td>\n",
       "      <td>[Ch7HD, NingPanita, BumrungradH]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>139004</td>\n",
       "      <td>303</td>\n",
       "      <td>1</td>\n",
       "      <td>[BLACKPINK, elxxkm1, Park_Jihoon_twt]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>12949</td>\n",
       "      <td>289</td>\n",
       "      <td>0</td>\n",
       "      <td>[ohmthitiwat, FlukeNatouch, numberx9th]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>19681</td>\n",
       "      <td>286</td>\n",
       "      <td>0</td>\n",
       "      <td>[ygent_official, stitch_pololo, siwonchoi]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>135537</td>\n",
       "      <td>247</td>\n",
       "      <td>1</td>\n",
       "      <td>[knockknock0408, knockknock_0408, BUBBLETEAHOLIC]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>352562</td>\n",
       "      <td>191</td>\n",
       "      <td>177</td>\n",
       "      <td>[WasanaWW, BamBam1A, JacksonWang852]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>667792</td>\n",
       "      <td>182</td>\n",
       "      <td>0</td>\n",
       "      <td>[zaynmalik, djsnake, MTV]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>14054</td>\n",
       "      <td>166</td>\n",
       "      <td>0</td>\n",
       "      <td>[xzhan1005, WeTVThailand, XiaoZhan1005_TH]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>138919</td>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>[GaemGyu, shfly3424, special1004]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>136084</td>\n",
       "      <td>155</td>\n",
       "      <td>0</td>\n",
       "      <td>[kaewffk_kz, Fangfanggn, poppychatchaya_]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>28898</td>\n",
       "      <td>148</td>\n",
       "      <td>0</td>\n",
       "      <td>[Gopgapreview, yayaurassaya, the1975]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>653258</td>\n",
       "      <td>142</td>\n",
       "      <td>1</td>\n",
       "      <td>[bkksnow, NewJeans_twt, kittyumbs]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    communityId  size  spammer_count  \\\n",
       "0        135279  2692            455   \n",
       "1        142521  2403              7   \n",
       "2        163620  2247              1   \n",
       "3        138600  2058              8   \n",
       "4        149297  1664              2   \n",
       "5        155276  1559              5   \n",
       "6         14057  1543              6   \n",
       "7        162057  1454              7   \n",
       "8         15366  1323              1   \n",
       "9        200271   913              0   \n",
       "10       163629   835              0   \n",
       "11       135202   808              3   \n",
       "12       134694   762              2   \n",
       "13       138902   700              0   \n",
       "14        19945   690              0   \n",
       "15       203478   600              3   \n",
       "16       150601   584             19   \n",
       "17       179066   482              1   \n",
       "18       390358   467              7   \n",
       "19       272986   429              8   \n",
       "20        19629   381              0   \n",
       "21       145682   375              0   \n",
       "22        59025   358              1   \n",
       "23        40295   335              3   \n",
       "24       431067   324              0   \n",
       "25       145900   311              2   \n",
       "26       135543   311              0   \n",
       "27       299816   307              0   \n",
       "28       437529   306              0   \n",
       "29       139004   303              1   \n",
       "30        12949   289              0   \n",
       "31        19681   286              0   \n",
       "32       135537   247              1   \n",
       "33       352562   191            177   \n",
       "34       667792   182              0   \n",
       "35        14054   166              0   \n",
       "36       138919   163              1   \n",
       "37       136084   155              0   \n",
       "38        28898   148              0   \n",
       "39       653258   142              1   \n",
       "\n",
       "                                             topUsers  \n",
       "0              [netflixth, JacksonWang852, THarmharm]  \n",
       "1                  [NCTsmtown, WayV_official, Ten_TH]  \n",
       "2                       [CwrNew, zee_pruk, DomundiTV]  \n",
       "3                      [GMMTV, bbrightvc, winmetawin]  \n",
       "4            [gulfkanawut, MSuppasit, Gulfkanawutofc]  \n",
       "5                          [BamBam1A, GOT7, marktuan]  \n",
       "6                [LILITEAMTH327, BLACKPINK, BamBam1A]  \n",
       "7                 [BTS_twt, _candyclover, bts_bighit]  \n",
       "8                 [warwanarat, yinyin_anw, aunzajung]  \n",
       "9                     [bb0un, Prem_space, wabisabiTH]  \n",
       "10           [milephakphum, Nnattawin1, beoncloud_th]  \n",
       "11                 [third_n, jackiejackrin, 4NOLOGUE]  \n",
       "12                   [ppkritt, ppkritt_fc, nongderrr]  \n",
       "13         [shxx131bi131, treasuremembers, 131online]  \n",
       "14                 [winmetawin, _opywpyy_, bbrightvc]  \n",
       "15               [peckpalit, ToeiiSiri, ChinChinawut]  \n",
       "16             [sfkkfs_, yoxrgravity, itmydefinition]  \n",
       "17    [TelegraphDucker, theafcdotcom, ManoodTingJeen]  \n",
       "18                 [itscharlotty, EWaraha, daaddeaw1]  \n",
       "19          [EarthOfficialFC, wixxiws, Earth_Pirapat]  \n",
       "20           [Astrostuffs_TH, bbrightvc, salaleyoo__]  \n",
       "21               [Horo4you, old_xian, winkwink_store]  \n",
       "22             [ENHYPEN_members, ENHYPEN, ENHYPEN_JP]  \n",
       "23              [jaomaecaption, IVEstarship, IVE_twt]  \n",
       "24             [bnk48official, klinnangsue, ShopeeTH]  \n",
       "25              [Viviennewonder, brinkkty, Dinkem321]  \n",
       "26                [Korseries, KSeriesAD, Khunnie0624]  \n",
       "27              [AngelssBecky, cat_auras, forsapphic]  \n",
       "28                   [Ch7HD, NingPanita, BumrungradH]  \n",
       "29              [BLACKPINK, elxxkm1, Park_Jihoon_twt]  \n",
       "30            [ohmthitiwat, FlukeNatouch, numberx9th]  \n",
       "31         [ygent_official, stitch_pololo, siwonchoi]  \n",
       "32  [knockknock0408, knockknock_0408, BUBBLETEAHOLIC]  \n",
       "33               [WasanaWW, BamBam1A, JacksonWang852]  \n",
       "34                          [zaynmalik, djsnake, MTV]  \n",
       "35         [xzhan1005, WeTVThailand, XiaoZhan1005_TH]  \n",
       "36                  [GaemGyu, shfly3424, special1004]  \n",
       "37          [kaewffk_kz, Fangfanggn, poppychatchaya_]  \n",
       "38              [Gopgapreview, yayaurassaya, the1975]  \n",
       "39                 [bkksnow, NewJeans_twt, kittyumbs]  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "louvainDf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "67a902d3-d542-4cff-9126-fc8016ef2b1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6d840f66-571a-4cd7-a7db-b0d60398d40e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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