quickstart.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "quickstart.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/fani-lab/SEERa/blob/main/quickstart.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%rm -R SEERa/\n",
        "!git clone --recurse-submodules -j8 https://github.com/fani-lab/SEERa.git\n",
        "%cd SEERa/\n",
        "!pip install -r requirements.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "cTadusMKXPRJ",
        "outputId": "cf737a1b-6db0-4ff8-9915-94acb4e6de5d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "rm: cannot remove 'SEERa/': No such file or directory\n",
            "Cloning into 'SEERa'...\n",
            "remote: Enumerating objects: 684, done.\u001b[K\n",
            "remote: Counting objects: 100% (684/684), done.\u001b[K\n",
            "remote: Compressing objects: 100% (414/414), done.\u001b[K\n",
            "remote: Total 684 (delta 358), reused 547 (delta 254), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (684/684), 31.57 MiB | 13.67 MiB/s, done.\n",
            "Resolving deltas: 100% (358/358), done.\n",
            "Submodule 'src/gel/Temporal-Network-Embedding' (https://github.com/linhongseba/Temporal-Network-Embedding.git) registered for path 'src/gel/Temporal-Network-Embedding'\n",
            "Cloning into '/content/SEERa/src/gel/Temporal-Network-Embedding'...\n",
            "remote: Enumerating objects: 319, done.        \n",
            "remote: Total 319 (delta 0), reused 0 (delta 0), pack-reused 319        \n",
            "Receiving objects: 100% (319/319), 1.24 MiB | 5.35 MiB/s, done.\n",
            "Resolving deltas: 100% (164/164), done.\n",
            "fatal: remote error: upload-pack: not our ref cb6cb461c6e50a817f1a268fc40566df505377cf\n",
            "fatal: The remote end hung up unexpectedly\n",
            "Fetched in submodule path 'src/gel/Temporal-Network-Embedding', but it did not contain cb6cb461c6e50a817f1a268fc40566df505377cf. Direct fetching of that commit failed.\n",
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            "    Found existing installation: scipy 1.4.1\n",
            "    Uninstalling scipy-1.4.1:\n",
            "      Successfully uninstalled scipy-1.4.1\n",
            "  Attempting uninstall: pandas\n",
            "    Found existing installation: pandas 1.3.5\n",
            "    Uninstalling pandas-1.3.5:\n",
            "      Successfully uninstalled pandas-1.3.5\n",
            "  Attempting uninstall: matplotlib\n",
            "    Found existing installation: matplotlib 3.2.2\n",
            "    Uninstalling matplotlib-3.2.2:\n",
            "      Successfully uninstalled matplotlib-3.2.2\n",
            "  Attempting uninstall: tensorflow\n",
            "    Found existing installation: tensorflow 2.8.0\n",
            "    Uninstalling tensorflow-2.8.0:\n",
            "      Successfully uninstalled tensorflow-2.8.0\n",
            "  Attempting uninstall: scikit-learn\n",
            "    Found existing installation: scikit-learn 1.0.2\n",
            "    Uninstalling scikit-learn-1.0.2:\n",
            "      Successfully uninstalled scikit-learn-1.0.2\n",
            "  Attempting uninstall: networkx\n",
            "    Found existing installation: networkx 2.6.3\n",
            "    Uninstalling networkx-2.6.3:\n",
            "      Successfully uninstalled networkx-2.6.3\n",
            "  Attempting uninstall: nltk\n",
            "    Found existing installation: nltk 3.2.5\n",
            "    Uninstalling nltk-3.2.5:\n",
            "      Successfully uninstalled nltk-3.2.5\n",
            "  Attempting uninstall: gensim\n",
            "    Found existing installation: gensim 3.6.0\n",
            "    Uninstalling gensim-3.6.0:\n",
            "      Successfully uninstalled gensim-3.6.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "yellowbrick 1.4 requires scikit-learn>=1.0.0, but you have scikit-learn 0.24.2 which is incompatible.\n",
            "kapre 0.3.7 requires tensorflow>=2.0.0, but you have tensorflow 1.14.0 which is incompatible.\n",
            "google-colab 1.0.0 requires six~=1.15.0, but you have six 1.16.0 which is incompatible.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\n",
            "albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\u001b[0m\n",
            "Successfully installed dynamicgem-0.0.3 gensim-3.8.3 keras-applications-1.0.8 matplotlib-3.3.4 networkx-2.5.1 nltk-3.6.2 numpy-1.19.5 numpydoc-1.2 pandas-1.1.5 scikit-learn-0.24.2 scikit-network-0.23.0 scipy-1.5.4 six-1.16.0 sphinx-4.4.0 sphinx-gallery-0.10.1 sphinx-rtd-theme-1.0.0 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-2.0.0 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 tagme-0.1.3 tensorboard-1.14.0 tensorflow-1.14.0 tensorflow-estimator-1.14.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "matplotlib",
                  "mpl_toolkits",
                  "numpy",
                  "six",
                  "sphinxcontrib"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/SEERa/src\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cd src/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T1khxV20FJtE",
        "outputId": "1bae1ef2-14d4-4ba9-e92f-9fa3de58d66b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/SEERa/src\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python main.py"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GFfsQl5qtaIf",
        "outputId": "5c69346e-7a2a-469d-8b23-7cd3f821fe7c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Data Reading:\n",
            "Start and end dates: from (2010-11-01) to (2010-11-19)\n",
            "#Tweets: 62187\n",
            "#Users: 7596\n",
            "Time Interval: 1 day(s)\n",
            "-------------------------------------------\n",
            "Topic Modeling:\n",
            "#Topics: 75\n",
            "The lda_model is saved.\n",
            "-------------------------------------------\n",
            "User Modeling:\n",
            "Shape of users_topic matrix: (19, 7596, 75)\n",
            "19 graphs are created for 19 days with 7596 users.\n",
            "-------------------------------------------\n",
            "Graph Embedding:\n",
            "Embedding Dimension: 30\n",
            "Method: DynAERNN\n",
            "Embedded Matrix: (7596, 30) is saved.\n",
            "-------------------------------------------\n",
            "Graph Clustering:\n",
            "Method: Louvain\n",
            "#Nodes: 7596 / #Edges: 38912\n",
            "Clustering output: 2186 communities.\n",
            "C0:  607 users / Favorite topic: T26 (43.3%)\n",
            "T26 top-5 tokens: 0.109*\"tweet\" + 0.051*\"good\" + 0.044*\"haha\" + 0.033*\"Harry Potter\" + 0.029*\"Today\"\n",
            "******************************\n",
            "C1:  513 users / Favorite topic: T49 (48.6%)\n",
            "T49 top-5 tokens: 0.041*\"House\" + 0.026*\"bill\" + 0.023*\"benefits\" + 0.021*\"Rangel\" + 0.020*\"jobless\"\n",
            "******************************\n",
            "C2:  493 users / Favorite topic: T74 (58.3%)\n",
            "T74 top-5 tokens: 0.224*\"Twitter\" + 0.139*\"Facebook\" + 0.049*\"Google\" + 0.024*\"Japan\" + 0.021*\"Android\"\n",
            "******************************\n",
            "C3:  397 users / Favorite topic: T13 (53.8%)\n",
            "T13 top-5 tokens: 0.037*\"Israel\" + 0.025*\"case\" + 0.021*\"Egypt\" + 0.018*\"Afghan\" + 0.017*\"leader\"\n",
            "******************************\n",
            "C4:  369 users / Favorite topic: T1 (63.8%)\n",
            "T1 top-5 tokens: 0.049*\"Video\" + 0.022*\"job\" + 0.016*\"Bush\" + 0.015*\"Watch\" + 0.014*\"happy\"\n",
            "******************************\n",
            "C5:  354 users / Favorite topic: T57 (61.1%)\n",
            "T57 top-5 tokens: 0.050*\"family\" + 0.046*\"man\" + 0.029*\"Ohio\" + 0.027*\"members\" + 0.026*\"charged\"\n",
            "******************************\n",
            "C6:  254 users / Favorite topic: T20 (50.7%)\n",
            "T20 top-5 tokens: 0.052*\"Sun\" + 0.016*\"Africa\" + 0.016*\"ba\" + 0.015*\"ya\" + 0.014*\"art\"\n",
            "******************************\n",
            "C7:  234 users / Favorite topic: T0 (55.2%)\n",
            "T0 top-5 tokens: 0.086*\"NYC\" + 0.039*\"re\" + 0.029*\"Fashion\" + 0.024*\"Colombia\" + 0.020*\"voice\"\n",
            "******************************\n",
            "C8:  207 users / Favorite topic: T7 (56.5%)\n",
            "T7 top-5 tokens: 0.039*\"friends\" + 0.034*\"America\" + 0.028*\"ll\" + 0.026*\"mind\" + 0.024*\"crazy\"\n",
            "******************************\n",
            "C9:  193 users / Favorite topic: T4 (61.0%)\n",
            "T4 top-5 tokens: 0.204*\"China\" + 0.077*\"US\" + 0.044*\"week\" + 0.032*\"Afghanistan\" + 0.027*\"U.S\"\n",
            "******************************\n",
            "C10:  176 users / Favorite topic: T51 (61.1%)\n",
            "T51 top-5 tokens: 0.047*\"Sarah Palin\" + 0.030*\"Indonesia\" + 0.028*\"e-mail\" + 0.021*\"billion\" + 0.020*\"hacker\"\n",
            "******************************\n",
            "C11:  50 users / Favorite topic: T62 (50.0%)\n",
            "T62 top-5 tokens: 0.207*\"ur\" + 0.040*\"single\" + 0.037*\"English\" + 0.030*\"Hope\" + 0.026*\"Team\"\n",
            "******************************\n",
            "C12:  18 users / Favorite topic: T9 (100.0%)\n",
            "T9 top-5 tokens: 0.037*\"British\" + 0.036*\"die\" + 0.027*\"arrested\" + 0.025*\"FBI\" + 0.023*\"die in\"\n",
            "******************************\n",
            "C13:  17 users / Favorite topic: T34 (94.1%)\n",
            "T34 top-5 tokens: 0.045*\"Qantas\" + 0.034*\"flight\" + 0.026*\"Dublin\" + 0.023*\"Man\" + 0.021*\"photography\"\n",
            "******************************\n"
          ]
        }
      ]
    }
  ]
}