analysis_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis notebook for: How much research shared on Facebook is hidden from public view?\n",
    "\n",
    "This notebook produces all results and figures in the article.\n",
    "\n",
    "Figures are plotted to the *figures/* directory.\n",
    "Tables are saved to the *tables/* directory.\n",
    "\n",
    "**Article outline and outputs**\n",
    "\n",
    "1. Introduction\n",
    "2. Background\n",
    "    - Figure 1 (static)\n",
    "    - Table 1 (static)\n",
    "3. Methodology\n",
    "    - Table 2 (static)\n",
    "4. Results\n",
    "    1. Coverage\n",
    "        - [Table 3](#Table-3)\n",
    "        - [Figure 2](#Figure-2)\n",
    "        - [Table 4](#Table-4)\n",
    "        - [Figure 3](#Figure-3)\n",
    "        - [Figure 4](#Figure-4)\n",
    "    2. Engagement counts\n",
    "        - [Table 5](#Table-5)\n",
    "        - [Table 6](#Table-6)\n",
    "        - [Figure 5](#Figure-5)\n",
    "        - [Figure 6](#Figure-6)\n",
    "        - [Figure 7](#Figure-7)\n",
    "5. Discussion and Conclusion\n",
    "6. Appendices\n",
    "    - [Table A1](#Table-A1)\n",
    "    - [Table B1](#Table-B1)\n",
    "7. Supplemental material\n",
    "    - [Figure 8](#Figure-8)\n",
    "    - [Figure 9](#Figure-9) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gspread\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from gspread_dataframe import set_with_dataframe\n",
    "from matplotlib import ticker\n",
    "from matplotlib.colors import ListedColormap\n",
    "from matplotlib_venn import venn2, venn3, venn3_circles\n",
    "from oauth2client.service_account import ServiceAccountCredentials\n",
    "from scipy import stats\n",
    "from scipy.optimize import curve_fit\n",
    "from tqdm.auto import tqdm\n",
    "\n",
    "tqdm.pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following presents an implementation of _partial log binning_ following Milojević (2010)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def thresh(bin_size):\n",
    "    x = 1\n",
    "    while True:\n",
    "        diff = np.log10(x+1) - np.log10(x)\n",
    "        if diff < bin_size:\n",
    "            return x +1\n",
    "        x = x + 1\n",
    "\n",
    "def partial_log_binning(data_counts, bin_size=0.1):\n",
    "    n_bins = 1/bin_size\n",
    "    binning_threshold = thresh(bin_size)\n",
    "\n",
    "    log_data = np.log10(data_counts)\n",
    "    log_index = np.log10(log_data.index)\n",
    "\n",
    "    logbins = np.linspace(np.log10(binning_threshold)+0.1,\n",
    "                          np.log10(max(data)),\n",
    "                          ((np.log10(max(data))-np.log10(binning_threshold)+0.1)//0.1)+1)\n",
    "\n",
    "    binned_xs = []\n",
    "    binned_vals = []      \n",
    "    \n",
    "    for i in range(1, binning_threshold+1):      \n",
    "        if i in log_data.index:\n",
    "            binned_vals.append(log_data.loc[i])\n",
    "            binned_xs.append(np.log10(i))\n",
    "    \n",
    "    for b in logbins:       \n",
    "            vals = (b-.05 <= log_index) & (log_index < b+.05)\n",
    "            vs = data_counts[vals]\n",
    "            if len(vs)>0:\n",
    "                n = np.ceil(10**(b+.05) - 10**(b-.05))\n",
    "                if n == 0:\n",
    "                    continue\n",
    "                binned_vals.append(np.log10(vs.sum()/n))\n",
    "                binned_xs.append(b)\n",
    "    return binned_xs, binned_vals  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Initialization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Seaborn styles\n",
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "# Matplotlib figure configuration fonts and figsizes\n",
    "plt.rcParams.update({\n",
    "    'font.family':'sans-serif',\n",
    "    'font.size': 16.0,\n",
    "    'text.usetex': False,\n",
    "    'figure.figsize': (11.69,8.27)\n",
    "})\n",
    "\n",
    "# Color palette\n",
    "cm = \"Paired\"\n",
    "cp3 = sns.color_palette(cm, 3)\n",
    "cp10 = sns.color_palette(cm, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Optional ###\n",
    "# Set up GSpread connection to push dataframes to Google Spreadsheets\n",
    "# Instructions can be found at https://gspread.readthedocs.io/en/latest/\n",
    "\n",
    "push_to_gspread = False\n",
    "\n",
    "if push_to_gspread:\n",
    "    scope = ['https://spreadsheets.google.com/feeds',\n",
    "             'https://www.googleapis.com/auth/drive']\n",
    "\n",
    "    credentials = ServiceAccountCredentials.from_json_keyfile_name('My Project-d9fa71152fe8.json', scope)\n",
    "\n",
    "    gc = gspread.authorize(credentials)\n",
    "    sh =  gc.open(\"PLOS Paper - Tables\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "articles_csv = \"data/articles.csv\"\n",
    "\n",
    "figs = \"figures/\"\n",
    "tables = \"tables/\"\n",
    "\n",
    "save_tables = True\n",
    "save_figs = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load data\n",
    "articles = pd.read_csv(articles_csv, index_col=\"doi\", parse_dates=['publication_date'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helpers\n",
    "\n",
    "A few variables to quickly access slices/sets of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A few useful sets to index various slices of the articles\n",
    "aes_set = set(articles['AES'].dropna().index.tolist())\n",
    "aer_set = set(articles['AER'].dropna().index.tolist())\n",
    "aec_set = set(articles['AEC'].dropna().index.tolist())\n",
    "\n",
    "pos_set = set(articles['POS'].dropna().index.tolist())\n",
    "tw_set = set(articles['TW'].dropna().index.tolist())\n",
    "\n",
    "any_shares = pos_set.union(aes_set)\n",
    "both_shares = pos_set.intersection(aes_set)\n",
    "any_engagement = aes_set.union(aer_set).union(aec_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# three main metrics\n",
    "metrics = ['AES', 'POS', 'TW']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": false
   },
   "source": [
    "# Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>AES</th>\n",
       "      <th>POS</th>\n",
       "      <th>TW</th>\n",
       "      <th>All articles</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>8,596 (33.8%)</td>\n",
       "      <td>3,981 (15.7%)</td>\n",
       "      <td>16,976 (66.8%)</td>\n",
       "      <td>25427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>6,992 (37.2%)</td>\n",
       "      <td>3,058 (16.3%)</td>\n",
       "      <td>13,807 (73.4%)</td>\n",
       "      <td>18809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>5,827 (33.1%)</td>\n",
       "      <td>2,584 (14.7%)</td>\n",
       "      <td>12,281 (69.7%)</td>\n",
       "      <td>17612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All years</th>\n",
       "      <td>21,415 (34.6%)</td>\n",
       "      <td>9,623 (15.6%)</td>\n",
       "      <td>43,064 (69.6%)</td>\n",
       "      <td>61848</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      AES            POS              TW  All articles\n",
       "                                                                      \n",
       "2015        8,596 (33.8%)  3,981 (15.7%)  16,976 (66.8%)         25427\n",
       "2016        6,992 (37.2%)  3,058 (16.3%)  13,807 (73.4%)         18809\n",
       "2017        5,827 (33.1%)  2,584 (14.7%)  12,281 (69.7%)         17612\n",
       "All years  21,415 (34.6%)  9,623 (15.6%)  43,064 (69.6%)         61848"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = articles[metrics + ['year']].groupby(\"year\").count()\n",
    "x['All articles'] = articles.groupby(\"year\").count()['title']\n",
    "\n",
    "df_cross_metrics = x.copy()\n",
    "df_cross_metrics.loc['All years'] = df_cross_metrics.sum(axis=0)\n",
    "\n",
    "for i in df_cross_metrics.index.tolist():\n",
    "    df_cross_metrics.loc[i, metrics] = df_cross_metrics.loc[i, metrics].map(\n",
    "        lambda x: \"{:,} ({:.1f}%)\".format(x, 100*x/df_cross_metrics.loc[i, 'All articles'])\n",
    "    )\n",
    "\n",
    "df_cross_metrics.index.name = \"\"\n",
    "\n",
    "if push_to_gspread:\n",
    "    wks = sh.worksheet(\"Coverage - Methods\")\n",
    "    set_with_dataframe(wks, df_cross_metrics.reset_index())\n",
    "\n",
    "if save_tables:\n",
    "    df_cross_metrics.to_csv(tables + \"table_3_coverage_aes_pos_tw.csv\")\n",
    "    \n",
    "df_cross_metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 841.68x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pdf = articles\n",
    "\n",
    "total = len(pos_set.union(aes_set).union(tw_set))\n",
    "\n",
    "v = venn3([tw_set, pos_set, aes_set],\n",
    "      set_labels=('', '', ''),\n",
    "      subset_label_formatter=lambda x: \"{:,} ({:.1f})\".format(x, 100*x/total));\n",
    "\n",
    "v.get_patch_by_id('100').set_color(cp3[0])\n",
    "v.get_patch_by_id('010').set_color(cp3[1])\n",
    "v.get_patch_by_id('001').set_color(cp3[2])\n",
    "\n",
    "v.get_patch_by_id('110').set_color(np.add(cp3[0], cp3[1])/2)\n",
    "v.get_patch_by_id('011').set_color(np.add(cp3[1], cp3[2])/2)\n",
    "v.get_patch_by_id('101').set_color(np.add(cp3[0], cp3[2])/2)\n",
    "\n",
    "v.get_patch_by_id('111').set_color(np.add(np.add(cp3[1], cp3[0]), cp3[2]) / 3)\n",
    "\n",
    "for text in v.set_labels:\n",
    "    text.set_fontsize(10)\n",
    "for text in v.subset_labels:\n",
    "    text.set_fontsize(12)\n",
    "\n",
    "plt.gca().legend(handles=[v.get_patch_by_id('100'), v.get_patch_by_id('010'), v.get_patch_by_id('001')],\n",
    "                 labels=[\"TW\", \"POS\", \"AES\"], prop={'size': 12});\n",
    "\n",
    "if save_figs:\n",
    "    plt.savefig(figs + \"figure_2_coverage_aes_pos_tw.png\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table 4\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>AES</th>\n",
       "      <th>AES and POS</th>\n",
       "      <th>POS</th>\n",
       "      <th>Any FB</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>5,414 (57.6%)</td>\n",
       "      <td>3,182 (33.9%)</td>\n",
       "      <td>799 (8.5%)</td>\n",
       "      <td>9395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>4,540 (59.8%)</td>\n",
       "      <td>2,452 (32.3%)</td>\n",
       "      <td>606 (8.0%)</td>\n",
       "      <td>7598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>3,745 (59.2%)</td>\n",
       "      <td>2,082 (32.9%)</td>\n",
       "      <td>502 (7.9%)</td>\n",
       "      <td>6329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All years</th>\n",
       "      <td>13,699 (58.7%)</td>\n",
       "      <td>7,716 (33.1%)</td>\n",
       "      <td>1,907 (8.2%)</td>\n",
       "      <td>23322</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      AES    AES and POS           POS  Any FB\n",
       "                                                              \n",
       "2015        5,414 (57.6%)  3,182 (33.9%)    799 (8.5%)    9395\n",
       "2016        4,540 (59.8%)  2,452 (32.3%)    606 (8.0%)    7598\n",
       "2017        3,745 (59.2%)  2,082 (32.9%)    502 (7.9%)    6329\n",
       "All years  13,699 (58.7%)  7,716 (33.1%)  1,907 (8.2%)   23322"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = articles[['AES', 'POS']].dropna(how=\"all\")\n",
    "df = pd.concat([df, articles[['year']]], join=\"inner\", axis=1)\n",
    "\n",
    "x = df.groupby(\"year\").apply(lambda x: sum(~x['AES'].isna() & x['POS'].isna())).to_frame(\"AES\")\n",
    "x = pd.concat([x, df.groupby(\"year\").apply(lambda x: sum(~x['AES'].isna() & ~x['POS'].isna())).to_frame(\"AES and POS\")], axis=1)\n",
    "x = pd.concat([x, df.groupby(\"year\").apply(lambda x: sum(x['AES'].isna() & ~x['POS'].isna())).to_frame(\"POS\")], axis=1)\n",
    "\n",
    "df_overlap_coverage = x.copy()\n",
    "df_overlap_coverage.loc['All years'] = df_overlap_coverage.sum(axis=0).astype(int)\n",
    "df_overlap_coverage['Any FB'] = df_overlap_coverage.sum(axis=1)\n",
    "\n",
    "cols = [\"AES\", \"AES and POS\", \"POS\"]\n",
    "for i in [2015, 2016, 2017, 'All years']:\n",
    "    df_overlap_coverage.loc[i, cols] = df_overlap_coverage.loc[i, cols].map(\n",
    "        lambda x: \"{:,} ({:.1f}%)\".format(x, 100*x/df_overlap_coverage.loc[i, \"Any FB\"]))\n",
    "    \n",
    "df_overlap_coverage.index.name = \"\"\n",
    "\n",
    "if push_to_gspread:\n",
    "    wks = sh.worksheet(\"Coverage - Facebook\")\n",
    "    set_with_dataframe(wks, df_overlap_coverage.reset_index())\n",
    "    \n",
    "if save_tables:\n",
    "    df_overlap_coverage.to_csv(tables + \"table_4_coverage_facebook_methods.csv\")\n",
    "\n",
    "df_overlap_coverage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Removed 17 articles in Arts or Humanities'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Difference between AES and POS counts\n",
    "articles['diff'] = articles['AES'] - articles['POS']\n",
    "\n",
    "# Remove articles in Arts and Humanities\n",
    "base = articles[~articles.discipline.isin([\"Arts\", \"Humanities\"])]\n",
    "\"Removed {} articles in Arts or Humanities\".format(articles[articles.discipline.isin([\"Arts\", \"Humanities\"])].shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Disciplinary analysis is based on the \"discipline\" column\n",
    "# Other options: \"grand_discipline\", \"specialty\"\n",
    "col = \"discipline\"\n",
    "\n",
    "cov_disciplines = base.groupby(col)[metrics].apply(lambda x: x.count())\n",
    "cov_disciplines['All articles'] = base.groupby(col)[metrics].size()\n",
    "cov_disciplines = cov_disciplines.sort_values(\"All articles\", ascending=False)\n",
    "\n",
    "# Column names + order\n",
    "cov_disciplines.index.name = \"Discipline\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 841.68x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pdf = cov_disciplines[metrics].copy()\n",
    "pdf = pdf.apply(lambda x: x.map(lambda y: 100*y/cov_disciplines.loc[x.name, \"All articles\"]), axis=1)\n",
    "# pdf = pdf.sort_values(\"AES\", ascending=False)\n",
    "\n",
    "pdf.index = pdf.index.map(lambda x: \"{} ({:,})\".format(x, cov_disciplines.loc[x, \"All articles\"]))\n",
    "pdf = pdf.sort_values([\"AES\"], ascending=False)\n",
    "pdf = pdf[['POS', 'AES', \"TW\"][::-1]]\n",
    "\n",
    "pdf.plot(kind=\"barh\", colormap=ListedColormap(sns.color_palette(\"Paired\", 3)), width=.65)\n",
    "\n",
    "h, l = plt.gca().get_legend_handles_labels()\n",
    "plt.legend(h[::-1], l[::-1])\n",
    "\n",
    "plt.ylabel(\"\")\n",
    "plt.grid(False)\n",
    "plt.grid(True, axis=\"x\", linestyle=\":\")\n",
    "\n",
    "ticks = plt.gca().get_xticks()[:-1]\n",
    "plt.xticks(ticks, [\"{}%\".format(int(x)) for x in ticks])\n",
    "\n",
    "sns.despine(top=True, bottom=True, left=True, right=True);\n",
    "\n",
    "if save_figs:\n",
    "    plt.savefig(figs + \"figure_3_coverage_disciplines.png\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 841.68x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = aes_set.difference(pos_set)\n",
    "b = aes_set.intersection(pos_set)\n",
    "c = pos_set.difference(aes_set)\n",
    "\n",
    "any_fb_counts = base.reindex(aes_set.union(pos_set))[col].value_counts()\n",
    "any_fb_counts.loc['Total'] = any_fb_counts.sum()\n",
    "\n",
    "indices = [a, b, c]\n",
    "\n",
    "dfs = []\n",
    "for ix, label in enumerate([\"Only AES\", \"Both\", \"Only POS\"]):\n",
    "    dois = set().union(*indices[ix:ix+1])\n",
    "    x = base.reindex(dois)[col].value_counts()\n",
    "    dfs.append(x.to_frame(label))\n",
    "\n",
    "pdf = pd.concat(dfs, axis=1, sort=False)\n",
    "pdf.index = pdf.index.map(lambda x: \"{} ({:,})\".format(x, any_fb_counts.loc[x]))\n",
    "\n",
    "pdf = pdf.apply(lambda x: x.map(lambda y: 100*y/sum(x)), axis=1)\n",
    "pdf = pdf.sort_values(by=\"Only AES\")\n",
    "pdf[['Both', 'Only POS', 'Only AES']].plot(kind=\"barh\", stacked=True, colormap=ListedColormap(sns.color_palette(\"Paired\", 3)[::-1]))\n",
    "\n",
    "ticks = plt.gca().get_xticks()[:-1]\n",
    "plt.xticks(ticks, [\"{}%\".format(int(x)) for x in ticks])\n",
    "\n",
    "plt.grid(False)\n",
    "plt.grid(True, axis=\"x\", linestyle=\":\")\n",
    "sns.despine(top=True, bottom=True, left=True, right=True)\n",
    "\n",
    "if save_figs:\n",
    "    plt.savefig(figs + \"figure_4_coverage_facebook_methods.png\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>Only AES</th>\n",
       "      <th>Both</th>\n",
       "      <th>Only POS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Earth and Space (609)</th>\n",
       "      <td>46.305419</td>\n",
       "      <td>51.067323</td>\n",
       "      <td>2.627258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social Sciences (532)</th>\n",
       "      <td>51.879699</td>\n",
       "      <td>45.112782</td>\n",
       "      <td>3.007519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Professional Fields (309)</th>\n",
       "      <td>54.368932</td>\n",
       "      <td>41.747573</td>\n",
       "      <td>3.883495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Psychology (1,135)</th>\n",
       "      <td>54.625551</td>\n",
       "      <td>40.528634</td>\n",
       "      <td>4.845815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health (615)</th>\n",
       "      <td>55.121951</td>\n",
       "      <td>37.073171</td>\n",
       "      <td>7.804878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Biology (3,173)</th>\n",
       "      <td>57.295934</td>\n",
       "      <td>39.426410</td>\n",
       "      <td>3.277655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clinical Medicine (10,864)</th>\n",
       "      <td>57.382180</td>\n",
       "      <td>31.608984</td>\n",
       "      <td>11.008837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Biomedical Research (4,918)</th>\n",
       "      <td>64.213095</td>\n",
       "      <td>28.385523</td>\n",
       "      <td>7.401383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mathematics (79)</th>\n",
       "      <td>67.088608</td>\n",
       "      <td>26.582278</td>\n",
       "      <td>6.329114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chemistry (90)</th>\n",
       "      <td>70.000000</td>\n",
       "      <td>22.222222</td>\n",
       "      <td>7.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Physics (271)</th>\n",
       "      <td>73.062731</td>\n",
       "      <td>23.247232</td>\n",
       "      <td>3.690037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Engineering and Technology (333)</th>\n",
       "      <td>76.576577</td>\n",
       "      <td>17.717718</td>\n",
       "      <td>5.705706</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Only AES       Both   Only POS\n",
       "Earth and Space (609)             46.305419  51.067323   2.627258\n",
       "Social Sciences (532)             51.879699  45.112782   3.007519\n",
       "Professional Fields (309)         54.368932  41.747573   3.883495\n",
       "Psychology (1,135)                54.625551  40.528634   4.845815\n",
       "Health (615)                      55.121951  37.073171   7.804878\n",
       "Biology (3,173)                   57.295934  39.426410   3.277655\n",
       "Clinical Medicine (10,864)        57.382180  31.608984  11.008837\n",
       "Biomedical Research (4,918)       64.213095  28.385523   7.401383\n",
       "Mathematics (79)                  67.088608  26.582278   6.329114\n",
       "Chemistry (90)                    70.000000  22.222222   7.777778\n",
       "Physics (271)                     73.062731  23.247232   3.690037\n",
       "Engineering and Technology (333)  76.576577  17.717718   5.705706"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/asura/.virtualenvs/altmetrics/lib/python3.5/site-packages/ipykernel_launcher.py:18: DeprecationWarning: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.\n",
      "/home/asura/.virtualenvs/altmetrics/lib/python3.5/site-packages/ipykernel_launcher.py:18: DeprecationWarning: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.\n",
      "/home/asura/.virtualenvs/altmetrics/lib/python3.5/site-packages/ipykernel_launcher.py:18: DeprecationWarning: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.\n"
     ]
    }
   ],
   "source": [
    "binns = {}\n",
    "alphas = {}\n",
    "\n",
    "# straight line\n",
    "def func(x, a, b):\n",
    "    return a*x + b\n",
    "\n",
    "for _ in ['AES', 'POS', 'TW']:\n",
    "    data = articles[_].dropna()\n",
    "    val_counts = data.value_counts().sort_index()\n",
    "    \n",
    "    x, y = partial_log_binning(val_counts, bin_size=0.1)\n",
    "    \n",
    "    binns[_] = x,y\n",
    "\n",
    "    alpha, intercept = curve_fit(func, x, y)[0] # your data x, y to fit\n",
    "    alphas[_] = np.abs(alpha)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>Count</th>\n",
       "      <th>Min</th>\n",
       "      <th>Max</th>\n",
       "      <th>Geom-Mean</th>\n",
       "      <th>α</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AES</th>\n",
       "      <td>21415</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12473.0</td>\n",
       "      <td>2.36</td>\n",
       "      <td>1.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>POS</th>\n",
       "      <td>9623</td>\n",
       "      <td>1.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>1.53</td>\n",
       "      <td>2.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TW</th>\n",
       "      <td>43064</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8626.0</td>\n",
       "      <td>3.22</td>\n",
       "      <td>2.11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Count  Min      Max  Geom-Mean     α\n",
       "                                         \n",
       "AES  21415  1.0  12473.0       2.36  1.95\n",
       "POS   9623  1.0    186.0       1.53  2.54\n",
       "TW   43064  1.0   8626.0       3.22  2.11"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "as_data = articles['AES'].dropna()\n",
    "ps_data = articles['POS'].dropna()\n",
    "tw_data = articles['TW'].dropna()\n",
    "\n",
    "summary = pd.DataFrame()\n",
    "\n",
    "# Base stats\n",
    "summary['Count'] = articles[metrics].count()\n",
    "summary['Min'] = articles[metrics].min()\n",
    "summary['Max'] = articles[metrics].max()\n",
    "\n",
    "# summary['Med'] = articles[metrics].median()\n",
    "summary['Geom-Mean'] = [stats.gmean(as_data),\n",
    "                        stats.gmean(ps_data),\n",
    "                        stats.gmean(tw_data)]\n",
    "\n",
    "# Fitted powerlaw\n",
    "summary['α'] = [alphas['AES'], alphas['POS'], alphas['TW']]\n",
    "summary.index.name = \"\"\n",
    "\n",
    "if push_to_gspread:\n",
    "    wks = sh.worksheet(\"Volumne - Distributions\")\n",
    "    set_with_dataframe(wks, summary.reset_index().round(2))\n",
    "\n",
    "if save_tables:\n",
    "    summary.round(2).to_csv(tables + \"table_5_descriptive_stats_distros.csv\")\n",
    "    \n",
    "summary.round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>AES</th>\n",
       "      <th>POS</th>\n",
       "      <th>TW</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AES</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>POS</th>\n",
       "      <td>0.48</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TW</th>\n",
       "      <td>0.45</td>\n",
       "      <td>0.36</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      AES   POS    TW\n",
       "AES  1.00  0.48  0.45\n",
       "POS  0.48  1.00  0.36\n",
       "TW   0.45  0.36  1.00"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "if save_tables:\n",
    "    articles[metrics].fillna(0).corr(\"spearman\").round(2).to_csv(tables + \"table_6_spearman_corr.csv\")\n",
    "    \n",
    "\n",
    "articles[metrics].fillna(0).corr(\"spearman\").round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 841.68x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = plt.gca()\n",
    "\n",
    "for ix, (m, (x,y)) in enumerate(list(binns.items())):\n",
    "    data = {\n",
    "        'x':x,\n",
    "        'y':y\n",
    "    }\n",
    "    pdf = pd.DataFrame(data=data)\n",
    "        \n",
    "    val_counts = articles[m].dropna().value_counts()\n",
    "    val_counts = np.log10(val_counts)\n",
    "    val_counts.index = np.log10(val_counts.index)\n",
    "    \n",
    "    plt.scatter(x=\"index\", y=m, data=val_counts.reset_index(),\n",
    "                label=\"{}: Original\".format(m), c=[cp10[2*ix]], alpha=1, s=40, marker=\"o\",\n",
    "                zorder=1)\n",
    "    \n",
    "    sns.regplot(x=\"x\", y=\"y\", data=pdf,\n",
    "                label=\"{}: Binned\".format(m), marker=\"1\", color=cp10[2*ix+1],\n",
    "                truncate=True, ci=False,\n",
    "                scatter_kws={'s':200, 'zorder':2})\n",
    "    \n",
    "plt.legend()\n",
    "\n",
    "plt.ylim(-4,5.1)\n",
    "# plt.xlim(-.1,4)\n",
    "\n",
    "xbins = [1, 10, 100, 1000, 10000]\n",
    "plt.xticks(np.log10(xbins), [\"{:,}\".format(_) for _ in xbins]);\n",
    "\n",
    "ybins = [0.001, 0.01, 0.1, 1, 10, 100, 1000, 10000]\n",
    "plt.yticks(np.log10(ybins), [\"{:,}\".format(_) for _ in ybins]);\n",
    "\n",
    "min_ticks = [2,3,4,5,6,7,8,9]\n",
    "min_ticks.extend([10*x for x in min_ticks[-8:]])\n",
    "min_ticks.extend([10*x for x in min_ticks[-8:]])\n",
    "min_ticks.extend([10*x for x in min_ticks[-8:]])\n",
    "min_ticks.extend([10*x for x in min_ticks[-8:]])\n",
    "min_ticks.extend([10*x for x in min_ticks[-8:]])\n",
    "\n",
    "ax.tick_params(axis=\"x\", which=\"both\", bottom=True, length=3)\n",
    "ax.tick_params(axis=\"y\", which=\"both\", bottom=True, length=3)\n",
    "\n",
    "# locmin = ticker.LogLocator(subs=subs, numticks=200, numdecs=5)\n",
    "locmin = ticker.FixedLocator(np.log10(min_ticks))\n",
    "\n",
    "ax.xaxis.set_minor_locator(locmin)\n",
    "ax.xaxis.set_minor_formatter(ticker.NullFormatter())\n",
    "\n",
    "ax.grid(axis=\"both\", which=\"minor\", linestyle=\":\")\n",
    "\n",
    "ax.yaxis.set_minor_locator(locmin)\n",
    "ax.yaxis.set_minor_formatter(ticker.NullFormatter())\n",
    "\n",
    "# plt.grid(False)\n",
    "\n",
    "plt.ylabel(\"Expected articles with engagement count\")\n",
    "plt.xlabel(\"Engagement counts\")\n",
    "\n",
    "sns.despine(bottom=True, top=True, left=True, right=True, ax=ax)\n",
    "\n",
    "if save_figs:\n",
    "    plt.savefig(figs + \"figure_5_count_distributions.png\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AES > POS: 5223\n",
      "POS > AES: 466\n",
      "AES == POS: 2027\n"
     ]
    }
   ],
   "source": [
    "print(\"AES > POS: {}\".format(sum(articles['diff']>0)))\n",
    "print(\"POS > AES: {}\".format(sum(articles['diff']<0)))\n",
    "print(\"AES == POS: {}\".format(sum(articles['diff']==0)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 841.68x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pdf = articles[['diff', 'year']].dropna()\n",
    "pdf['year'] = pdf['year'].astype(str)\n",
    "pdf = pdf[pdf['diff']!=0]\n",
    "\n",
    "pdf[\"Metrics\"] = pdf['diff']>0\n",
    "pdf.Metrics.replace(True, \"AES > POS\", inplace=True)\n",
    "pdf.Metrics.replace(False, \"POS > AES\", inplace=True)\n",
    "\n",
    "pdf[\"diff\"] = pdf[\"diff\"].abs()\n",
    "\n",
    "plt.figure()\n",
    "sns.boxenplot(x=\"year\", y=\"diff\", hue=\"Metrics\", dodge=True, data=pdf, palette=cm, saturation=1)\n",
    "\n",
    "medians = pdf.groupby(['year', 'Metrics'])['diff'].median().tolist()\n",
    "nobs = pdf.groupby(['year', 'Metrics'])['diff'].count().tolist()\n",
    "nobs = [\"n: {:,}\".format(x) for x in nobs]\n",
    "\n",
    "pos = [-.2, .2, .8, 1.2, 1.8, 2.2]\n",
    "\n",
    "for x, y, label in zip(pos, medians, nobs):\n",
    "    plt.text(x, y+.4, label,\n",
    "             horizontalalignment='center', color='w', weight='bold')\n",
    "\n",
    "plt.yscale(\"log\")\n",
    "yticks = [1,2,3,5,10,100,1000,10000]\n",
    "plt.yticks(yticks, [\"{:,}\".format(_) for _ in yticks]);\n",
    "plt.ylim(1, plt.gca().get_ylim()[1]);\n",
    "plt.ylabel(\"Absolute difference between AS and PS counts\")\n",
    "plt.xlabel(\"\")\n",
    "\n",
    "plt.grid(axis=\"y\", linestyle=\":\")\n",
    "plt.grid(False, axis=\"x\")\n",
    "\n",
    "sns.despine(left=True, right=True, top=True)\n",
    "\n",
    "if save_figs:\n",
    "    plt.savefig(figs + \"figure_6_letter_value_plot_count_difference.png\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = base[base['diff']>0].index\n",
    "b = base[base['diff']<0].index\n",
    "c = base[base['diff']==0].index\n",
    "\n",
    "indices = [a, b, c]\n",
    "\n",
    "dfs = []\n",
    "for ix, label in enumerate([\"AES > POS\", \"AES < POS\", \"AES == POS\"]):\n",
    "    x = base.reindex(indices[ix]).copy()\n",
    "    x['diff'] = np.abs(x['diff'])\n",
    "    x = x.melt(id_vars=\"discipline\", value_vars=['diff'], value_name=\"Absolute difference between AES and POS\")\n",
    "    x['type'] = label\n",
    "    dfs.append(x)\n",
    "df = pd.concat(dfs, axis=0, sort=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 841.68x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "diff_disc_counts = base[~base['diff'].isna()][col].value_counts()\n",
    "\n",
    "pdf = df.groupby([col, \"type\"])['variable'].count().to_frame().reset_index()\n",
    "y = df.groupby([col])['variable'].count()\n",
    "\n",
    "pdf['%'] = pdf.apply(lambda x: 100*x.variable/y[x[col]], axis=1)\n",
    "\n",
    "pdf = pdf.pivot(index=col, columns=\"type\")['%']\n",
    "pdf = pdf[['AES > POS', 'AES == POS', \"AES < POS\"]]\n",
    "pdf = pdf.sort_values('AES > POS')\n",
    "\n",
    "pdf.index = pdf.index.map(lambda x: \"{} ({:,})\".format(x, diff_disc_counts.loc[x]))\n",
    "\n",
    "pdf.plot(kind=\"barh\", stacked=True, colormap=ListedColormap(sns.color_palette(\"Paired\", 3)[::-1]))\n",
    "\n",
    "h, l = plt.gca().get_legend_handles_labels()\n",
    "plt.legend(h, l)\n",
    "\n",
    "ticks = plt.gca().get_xticks()[:-1]\n",
    "plt.xticks(ticks, [\"{}%\".format(int(x)) for x in ticks])\n",
    "\n",
    "plt.ylabel(\"\")\n",
    "plt.xlabel(\"\")\n",
    "\n",
    "plt.grid(False)\n",
    "plt.grid(True, axis=\"x\", linestyle=\":\")\n",
    "sns.despine(top=True, bottom=True, left=True, right=True)\n",
    "\n",
    "if save_figs:\n",
    "    plt.savefig(figs + \"figure_7_AES_POS_comparison_disciplines.png\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table A1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>AES (coverage)</th>\n",
       "      <th>POS (coverage)</th>\n",
       "      <th>TW (coverage)</th>\n",
       "      <th>All articles (percentage)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Discipline</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Clinical Medicine</th>\n",
       "      <td>9,668 (32.9%)</td>\n",
       "      <td>4,630 (15.8%)</td>\n",
       "      <td>20,387 (69.4%)</td>\n",
       "      <td>29,360 (50.7%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Biomedical Research</th>\n",
       "      <td>4,554 (31.7%)</td>\n",
       "      <td>1,760 (12.3%)</td>\n",
       "      <td>10,379 (72.3%)</td>\n",
       "      <td>14,351 (24.8%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Biology</th>\n",
       "      <td>3,069 (45.4%)</td>\n",
       "      <td>1,355 (20.0%)</td>\n",
       "      <td>5,150 (76.2%)</td>\n",
       "      <td>6,761 (11.7%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Psychology</th>\n",
       "      <td>1,080 (64.2%)</td>\n",
       "      <td>515 (30.6%)</td>\n",
       "      <td>1,583 (94.2%)</td>\n",
       "      <td>1,681 (2.9%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Engineering and Technology</th>\n",
       "      <td>314 (26.5%)</td>\n",
       "      <td>78 (6.6%)</td>\n",
       "      <td>634 (53.6%)</td>\n",
       "      <td>1,183 (2.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Earth and Space</th>\n",
       "      <td>593 (54.0%)</td>\n",
       "      <td>327 (29.8%)</td>\n",
       "      <td>802 (73.0%)</td>\n",
       "      <td>1,098 (1.9%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health</th>\n",
       "      <td>567 (52.6%)</td>\n",
       "      <td>276 (25.6%)</td>\n",
       "      <td>893 (82.9%)</td>\n",
       "      <td>1,077 (1.9%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social Sciences</th>\n",
       "      <td>516 (70.5%)</td>\n",
       "      <td>256 (35.0%)</td>\n",
       "      <td>646 (88.3%)</td>\n",
       "      <td>732 (1.3%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Physics</th>\n",
       "      <td>261 (42.4%)</td>\n",
       "      <td>73 (11.9%)</td>\n",
       "      <td>424 (68.8%)</td>\n",
       "      <td>616 (1.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Professional Fields</th>\n",
       "      <td>297 (62.7%)</td>\n",
       "      <td>141 (29.7%)</td>\n",
       "      <td>416 (87.8%)</td>\n",
       "      <td>474 (0.8%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chemistry</th>\n",
       "      <td>83 (24.6%)</td>\n",
       "      <td>27 (8.0%)</td>\n",
       "      <td>150 (44.4%)</td>\n",
       "      <td>338 (0.6%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mathematics</th>\n",
       "      <td>74 (32.0%)</td>\n",
       "      <td>26 (11.3%)</td>\n",
       "      <td>144 (62.3%)</td>\n",
       "      <td>231 (0.4%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total</th>\n",
       "      <td>21,076 (36.4%)</td>\n",
       "      <td>9,464 (16.3%)</td>\n",
       "      <td>41,608 (71.9%)</td>\n",
       "      <td>57,902 (100.0%)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            AES (coverage) POS (coverage)   TW (coverage)  \\\n",
       "Discipline                                                                  \n",
       "Clinical Medicine            9,668 (32.9%)  4,630 (15.8%)  20,387 (69.4%)   \n",
       "Biomedical Research          4,554 (31.7%)  1,760 (12.3%)  10,379 (72.3%)   \n",
       "Biology                      3,069 (45.4%)  1,355 (20.0%)   5,150 (76.2%)   \n",
       "Psychology                   1,080 (64.2%)    515 (30.6%)   1,583 (94.2%)   \n",
       "Engineering and Technology     314 (26.5%)      78 (6.6%)     634 (53.6%)   \n",
       "Earth and Space                593 (54.0%)    327 (29.8%)     802 (73.0%)   \n",
       "Health                         567 (52.6%)    276 (25.6%)     893 (82.9%)   \n",
       "Social Sciences                516 (70.5%)    256 (35.0%)     646 (88.3%)   \n",
       "Physics                        261 (42.4%)     73 (11.9%)     424 (68.8%)   \n",
       "Professional Fields            297 (62.7%)    141 (29.7%)     416 (87.8%)   \n",
       "Chemistry                       83 (24.6%)      27 (8.0%)     150 (44.4%)   \n",
       "Mathematics                     74 (32.0%)     26 (11.3%)     144 (62.3%)   \n",
       "Total                       21,076 (36.4%)  9,464 (16.3%)  41,608 (71.9%)   \n",
       "\n",
       "                           All articles (percentage)  \n",
       "Discipline                                            \n",
       "Clinical Medicine                     29,360 (50.7%)  \n",
       "Biomedical Research                   14,351 (24.8%)  \n",
       "Biology                                6,761 (11.7%)  \n",
       "Psychology                              1,681 (2.9%)  \n",
       "Engineering and Technology              1,183 (2.0%)  \n",
       "Earth and Space                         1,098 (1.9%)  \n",
       "Health                                  1,077 (1.9%)  \n",
       "Social Sciences                           732 (1.3%)  \n",
       "Physics                                   616 (1.1%)  \n",
       "Professional Fields                       474 (0.8%)  \n",
       "Chemistry                                 338 (0.6%)  \n",
       "Mathematics                               231 (0.4%)  \n",
       "Total                                57,902 (100.0%)  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Format + Percentages\n",
    "cov_disc_formatted = cov_disciplines.copy()\n",
    "cov_disc_formatted.columns = [\n",
    "    \"AES (coverage)\",\n",
    "    \"POS (coverage)\",\n",
    "    \"TW (coverage)\",\n",
    "    \"All articles (percentage)\"]\n",
    "\n",
    "cov_disc_formatted.loc['Total'] = cov_disc_formatted.sum()\n",
    "\n",
    "cols = cov_disc_formatted.columns[0:3]\n",
    "for i in cov_disc_formatted.index:\n",
    "    cov_disc_formatted.loc[i, cols] = cov_disc_formatted.loc[i, cols].map(\n",
    "        lambda x: \"{:,} ({:.1f}%)\".format(x, 100*x/cov_disc_formatted.loc[i, \"All articles (percentage)\"]))\n",
    "\n",
    "t = cov_disc_formatted[\"All articles (percentage)\"][:-1].sum()\n",
    "cov_disc_formatted[\"All articles (percentage)\"] = cov_disc_formatted[\"All articles (percentage)\"].map(\n",
    "    lambda x: \"{:,} ({:.1f}%)\".format(x, 100*x/t))\n",
    "    \n",
    "if push_to_gspread:\n",
    "    wks = sh.worksheet(\"Disciplines - Coverage\")\n",
    "    set_with_dataframe(wks, cov_disc_formatted.reset_index())\n",
    "\n",
    "if save_tables:\n",
    "    cov_disc_formatted.to_csv(tables + \"table_A1_coverage_disciplines.csv\")\n",
    "    \n",
    "cov_disc_formatted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table B1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Any FB</th>\n",
       "      <th>Only AES</th>\n",
       "      <th>Both</th>\n",
       "      <th>Only POS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Discipline</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Clinical Medicine</th>\n",
       "      <td>10864</td>\n",
       "      <td>6,234.0 (57.4%)</td>\n",
       "      <td>3,434.0 (31.6%)</td>\n",
       "      <td>1,196.0 (11.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Biomedical Research</th>\n",
       "      <td>4918</td>\n",
       "      <td>3,158 (64.2%)</td>\n",
       "      <td>1,396 (28.4%)</td>\n",
       "      <td>364 (7.4%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Biology</th>\n",
       "      <td>3173</td>\n",
       "      <td>1,818 (57.3%)</td>\n",
       "      <td>1,251 (39.4%)</td>\n",
       "      <td>104 (3.3%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Psychology</th>\n",
       "      <td>1135</td>\n",
       "      <td>620 (54.6%)</td>\n",
       "      <td>460 (40.5%)</td>\n",
       "      <td>55 (4.8%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health</th>\n",
       "      <td>615</td>\n",
       "      <td>339 (55.1%)</td>\n",
       "      <td>228 (37.1%)</td>\n",
       "      <td>48 (7.8%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Earth and Space</th>\n",
       "      <td>609</td>\n",
       "      <td>282 (46.3%)</td>\n",
       "      <td>311 (51.1%)</td>\n",
       "      <td>16 (2.6%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social Sciences</th>\n",
       "      <td>532</td>\n",
       "      <td>276 (51.9%)</td>\n",
       "      <td>240 (45.1%)</td>\n",
       "      <td>16 (3.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Engineering and Technology</th>\n",
       "      <td>333</td>\n",
       "      <td>255 (76.6%)</td>\n",
       "      <td>59 (17.7%)</td>\n",
       "      <td>19 (5.7%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Physics</th>\n",
       "      <td>271</td>\n",
       "      <td>198 (73.1%)</td>\n",
       "      <td>63 (23.2%)</td>\n",
       "      <td>10 (3.7%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Professional Fields</th>\n",
       "      <td>309</td>\n",
       "      <td>168 (54.4%)</td>\n",
       "      <td>129 (41.7%)</td>\n",
       "      <td>12 (3.9%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chemistry</th>\n",
       "      <td>90</td>\n",
       "      <td>63 (70.0%)</td>\n",
       "      <td>20 (22.2%)</td>\n",
       "      <td>7 (7.8%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mathematics</th>\n",
       "      <td>79</td>\n",
       "      <td>53 (67.1%)</td>\n",
       "      <td>21 (26.6%)</td>\n",
       "      <td>5 (6.3%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total</th>\n",
       "      <td>22928</td>\n",
       "      <td>13,464 (58.7%)</td>\n",
       "      <td>7,612 (33.2%)</td>\n",
       "      <td>1,852 (8.1%)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Any FB         Only AES             Both  \\\n",
       "Discipline                                                             \n",
       "Clinical Medicine            10864  6,234.0 (57.4%)  3,434.0 (31.6%)   \n",
       "Biomedical Research           4918    3,158 (64.2%)    1,396 (28.4%)   \n",
       "Biology                       3173    1,818 (57.3%)    1,251 (39.4%)   \n",
       "Psychology                    1135      620 (54.6%)      460 (40.5%)   \n",
       "Health                         615      339 (55.1%)      228 (37.1%)   \n",
       "Earth and Space                609      282 (46.3%)      311 (51.1%)   \n",
       "Social Sciences                532      276 (51.9%)      240 (45.1%)   \n",
       "Engineering and Technology     333      255 (76.6%)       59 (17.7%)   \n",
       "Physics                        271      198 (73.1%)       63 (23.2%)   \n",
       "Professional Fields            309      168 (54.4%)      129 (41.7%)   \n",
       "Chemistry                       90       63 (70.0%)       20 (22.2%)   \n",
       "Mathematics                     79       53 (67.1%)       21 (26.6%)   \n",
       "Total                        22928   13,464 (58.7%)    7,612 (33.2%)   \n",
       "\n",
       "                                   Only POS  \n",
       "Discipline                                   \n",
       "Clinical Medicine           1,196.0 (11.0%)  \n",
       "Biomedical Research              364 (7.4%)  \n",
       "Biology                          104 (3.3%)  \n",
       "Psychology                        55 (4.8%)  \n",
       "Health                            48 (7.8%)  \n",
       "Earth and Space                   16 (2.6%)  \n",
       "Social Sciences                   16 (3.0%)  \n",
       "Engineering and Technology        19 (5.7%)  \n",
       "Physics                           10 (3.7%)  \n",
       "Professional Fields               12 (3.9%)  \n",
       "Chemistry                          7 (7.8%)  \n",
       "Mathematics                        5 (6.3%)  \n",
       "Total                          1,852 (8.1%)  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = aes_set.difference(pos_set)\n",
    "b = aes_set.intersection(pos_set)\n",
    "c = pos_set.difference(aes_set)\n",
    "\n",
    "indices = [a, b, c]\n",
    "\n",
    "dfs = []\n",
    "for ix, label in enumerate([\"Only AES\", \"Both\", \"Only POS\"]):\n",
    "    x = base.reindex(indices[ix])[col].value_counts()\n",
    "    dfs.append(x.to_frame(label))\n",
    "\n",
    "pdf = pd.concat(dfs, axis=1, sort=False)\n",
    "pdf.loc['Total'] = pdf.sum()\n",
    "\n",
    "pdf['Any FB'] = pdf.sum(axis=1)\n",
    "pdf['Public/Private (%)'] = np.round((pdf['Only POS'] + pdf['Both']) / (pdf['Only AES'] + pdf['Both']) * 100, 1)\n",
    "pdf['POS/AES (%)'] = np.round(pdf['Only POS'] / (pdf['Only AES']) * 100, 1)\n",
    "\n",
    "cols = pdf.columns[0:3]\n",
    "for i in pdf.index:\n",
    "    pdf.loc[i, cols] = pdf.loc[i, cols].map(\n",
    "        lambda x: \"{:,} ({:.1f}%)\".format(x, 100*x/any_fb_counts[i]))\n",
    "\n",
    "pdf.index.name = \"Discipline\"\n",
    "\n",
    "if push_to_gspread:\n",
    "    wks = sh.worksheet(\"Disciplines - FB\")\n",
    "    set_with_dataframe(wks, pdf[[\"Any FB\", \"Only AES\", \"Both\", \"Only POS\"]].reset_index())\n",
    "\n",
    "if save_tables:\n",
    "    pdf[[\"Any FB\", \"Only AES\", \"Both\", \"Only POS\"]].to_csv(tables + \"table_B1_coverage_facebook_methods.csv\")\n",
    "    \n",
    "pdf[[\"Any FB\", \"Only AES\", \"Both\", \"Only POS\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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UQqc3nBnS6UWcKShBtYb16Y6Il+KJrKu2VlYGOQBABrlL1coS2ZqXm4/UIdgck3QCAOSVVkK8rSRCFEXklbL/ryPipXgi6wvz7wwRho4uIvQIu6+zxBERkTNhkk4AgBD/+j+hNjRO9o2X4oms70rprxD+rI8VBBmuXP9V4oiIyJkwSScAgKebAoF+ppdpg/y84emmkCgiuheu3raKyNpqS8r0omEdj17UsaSMiCyKSToBMNSk/1Fh2naxqELNmnQH5sptq4isjSVl9o97fpCjY5JOAFiT7oxcuW0VkbWxpMy+cc8PcgZ81yYAhtpzQbjtDUcQWJPu4Fy1bRWRtbGkzH5xzw9yFkzSCYChJj26tT/kMkOiLpcJ6NQ6gDXpTsAV21YR2QJLyuwT9/wgZ8EknYzaBTaHp8LQ89dTIUfbwGYSR0REZL9kggyBvm0AAEG+4SwpswPc84OcCf+ikJFMENAtPAgA0C0iCLLbyl+IiOgvWr0Wl0t/AQDklp6GVs9EUGpcX0XOhEk6mWjh64XBMeFo4eMldShERHbtxNWdxg4vIkScyNspcUTE9VXkTJikUx1e7qxDJyK6k3J1MQorc0zGCitycKO6RKKICPhrfVXtlWCZwPVV5LiYpBMRETXS+aIj9Y6fa2CcbCeiZTNjyYsoighv6SdxRERNwySdyMmpNazFtDfcZMXxRQYl1D8e2MPGkdDtcv4oR23FiyAAuX/ckDYgoiZikk7kxEqqCpB5/nOUVl2TOhT6EzdZcQ5+ngEI8okwGQvyjYCfZ4BEERHwV3eXP5u7QC+C3V3IYTFJJ3JSelGPk/k/AACy8jOhF/USR0TcZMW5dA1JNr0dnNzATLIVdnchZ8IknergpXjnkFtyGje1KgDATa0KuaWnJY6IuMmKc7laesb09vUzDcwkW2F3F3ImTNLJBC/FO4dqjQrnig5DJxo+cOlELc4VHjYm7WR73GTFuVRrVDhbdMhk7GzhIf6OSYy7Z5MzYZJORrwU7zwKyi8Y+zfXEiEiv/yCRBERL8M7lyulv9b7O3a59FeJIqJa3D2bnAWTdDLipXjnEdy8AwTcdskXAoKbdZAoIgrx9zEuZqulF8HL8I6KGzLbLe6eTc6CSToB4KV4Z+Oh8EZkYALkguESr1xQIDIoAR4Kb4kjI3IObfw7Q7jtLVQQZGjj31miiOhW3D2bnAGTdALAS/HOKDwgxpiUeyi8Ee4fI3FEri2ngV7NDY2TffNQeKNjoGmv9MiW/CBsT7h7Njk6JukEgCvinZFMkCEiIBYA0DagK2QCf92l1dAaD679cFT1/c0kIrIUu3/XzszMRHx8/F3nHTt2DCNGjEDXrl0xcOBApKen15mza9cuDBs2DLGxsXj00Uexe/fuOnM2btyIgQMHIjY2FikpKThx4oRFXoe9u3VFfFQrf66IdwJ6UY+cklMAgEslJ9knXWIRLZvVKWMW/hwnx1OtUeFC0RGTsfNFR9jdhYgsxq6T9OPHj+Pll1++67yLFy/i2WefRUhICJYtW4Z+/fphzpw52LFjh3HOoUOHMG3aNPTo0QMffvghIiMjMWXKFGRlZRnnbNmyBa+//joeffRRLFu2DL6+vhg/fjyuXr1qlddnb2pXxEe39ueKeCfAPulE1sMOSkRkbYJ4eyGyHaipqcHatWuxdOlSeHt7Q6PR3PGM9iuvvIJffvkF27dvN15ufPnll3H27Fn85z//AQCkpqbC09MTq1atMt5v1KhR8PX1xYoVKyCKIpKTk5GUlIQ33ngDAKDRaDB48GD0798fc+fOteIrth/FFWq08PVCcaWaC24cWLVGhd0X1hn7pAOGxaMPd0xlzaxEfisswy95xSZpnQCgS0gLtA9qLlVY1EQ3tSr8cJ6/Y0RkPXZ5Jn3fvn34+OOPMXPmTKSmpt51/sGDB9GvXz+TesABAwbg/PnzKCwsRHV1NU6cOIGHH37Y5H7Jyck4dOgQdDodLl++jPz8fJM5bm5u6NevH/bv32+5F2fnWvgaEnMm6I6NZ/nsT4i/D2R/brAS1cofACCTcd2Ho/JQeKNjyx4mYx0DezBBJ7IStcb1GlnYZZIeExODzMxMPPPMM3ddiKNSqVBUVIQ2bdqYjIeGhgIAcnNzcfXqVWi12nrnVFdX49q1a8jNzQWAeudcuXIFOp3uHl8Vke2wT7r9uXXdR+1/ue7DsYlcJ0pkEyVVBcg8/zlKq65JHYpN2eW7Q1BQkNlzKysNn6yUSqXJeO3tyspKuLu733XOnR5Hr9dDrVbDx6fhM165ublQq9Vmx23PoqOjkZ2dLXUYdI+ai21QihyI0EOADM3FcFy6cFnqsFyaKAIy0fBnVybqUVNyDdmlrvWm4yy04k1cEX8yGTtb+BNURQIUgrtEURE5H1HU44p4GABwJPc7hAkJEBy4W1l0dLTZc+0ySW+M2pL6hs64y2Qyi8y52xn98PBwc8J1GI35ISL7pBcjsefCeqg0N+Dl5oOEDgPYhtEOBFYYPsz37BjCsjIHdqn4JIQiAbeu6hIEAcogoG0A/34SWcql4pMQi7SACIiCFp5BWrQN6Cp1WDbh8O/YtWe3q6qqTMZrb/v6+sLX1/ee5sjl8jpn2InsnUyQoWuwYY1FXHAyE3Q7wXUfzoElZUTWV61R4VzRYeMCbZ2oxbnCwy7T6tTh37WVSiVatmxZp01i7e2IiAiEhoZCJpPVO8fb2xtBQUHGWvT65jjbWXJyHQHK1ngw9P+Dv7KV1KEQORUPhTdaKENNxlr4hHLhKJEFuXoTBIdP0gEgMTERu3fvNlncuWvXLnTs2BEBAQHw9PREfHw8du3aZXK/zMxMJCQkQCaTITw8HK1atTKZo9FosGfPHiQmJtrstRBZUk7JKRy7+l/klrBHOpElVWtU+KPyisnYHxVXXOYMnyNQ12jvPonsmqtfsXLIJP23337DmTNnjLfHjx+PnJwc/POf/8TevXuxcOFCfPPNN3jhhReMcyZNmoR9+/bhtddew969e/Hyyy8jKysLkyZNAmCoJZwwYQK++uorvPfee9i7dy8mT56M69evY8yYMbZ+iUT3TKvX4szvBwAAv/7+I7R6vmERWUpB+QXUt4Wsq5zhs3fFFWrsOJ2L4krnaOjgqjwU3ogMTIBcMCyhlAsKRAYluMwVK4dM0t944w1MmTLFeDsqKgppaWm4evUqpkyZgj179mDhwoUYPHiwcU7fvn2xePFiHDlyBFOmTMG5c+ewfPlyxMfHG+eMGjUKM2fOxLZt2zBt2jRUVFRg9erVxnaORI7kxNWdxsuEIkScyNspcUREzsPVz/DZM70o4ufcQgDA8ZxC6O1vz0ZqhPCAGChkho5JCpk7wv1jJI7Iduxyx9G7qampwT/+8Q9s375d6lCI7FK5uhj7L22sM96nXQr8PAMkiIjI+VwqPomzRT9BL+ogE+SICurpMl0n7NmFwuvILiiFTi8a9yPgrr6OSy/qsfPcZ9DobsJd7okBkWNcphGCQ77KVatWsU6c6A7OFx2pd/xcA+NE1Hhh/p0hinoAhl7OYfd1ljgiqtZojQk6AOj0Is4UlKBaw3I/R3Wp5BQ0upsAgBpdNXJKTkkcke04ZJKenJyMV155ReowiOxWZFBC/eOBPeodJ6LGu1L6K4Q/30YFyHDl+q8SR0R5pZW4vUBAFEXklbrelvLOoFqjwtnCQyZj2YWHXGaBtkMm6ZGRkVAoHH4fJiKr8fMMQJBPhMlYkG8ES12ILKS2f7Mehq5ieuhcqn+zvQrx96mz+aAgCAjxb3jHcLJfl6//CuD2qmwRl0td4wOxQybpRHR3XUOSTW8HJzcwk4gay9X7N9srTzcFolv7Qy4zJOq1Nemebjyx54h0Ok2941p9/ePOhkk6kZPKu55tcik+ryxb4oiInAe7u9ivdoHN4amQAwA8FXK0DWwmcURETcMkncgJ1V6KF/HnojboeSmeyIJq+zfLYEgGZZC7VP9meyYTBLQLNHRzaRfUHDLh9ob2RI6BSTqRE+KleCLrC/PvbPJBmN1d7INeFPFbURkA4GJhGfukOzCF3K3+cVn9486GSTqRE7r1UnzHlt0B8FI8kaVdKf0Vwp/9mgWB3V3sxcWiMtzUGhb0Vmt1uFRULnFE1FRt/Ov/4NvQuLNhkk7khG7dSrljYHeX20qZyNqM3V3EP7u7iOzuYg/YJ925VGvq/326qVXbOBJpMEknclLhATHGpNxD4e1SWykTWRtLyuwT+6Q7l9t7pNfK/v2gjSORBpN0IiclE2ToGvwwACAuONlltlEmsoXg5h2g/3O30Vp6Uc+SMomxT7pz8W1gb4+Gxp0N37WJnFiAsjUAwF/ZSuJIiJyL4TJ83U1WXOUyvL1in3TnEtK8YwPjkTaORBpM0omIiBop28Uvw9sz9kl3HsWV+fXuR1BclSdRRLbFJJ2IiKiR/Dxc+zK8PZMJArqFBwEAukUEsU+6Awtu3gEyQW4yJhPkLlNWxiSdiIiokdq1jDP+f22bUwBo1yKuvulkYy18vTA4JhwtfLykDoXuQW2nssFRz2Jw1LOQCa61aRiTdCIiokbyUHgjqmUiAKBjoCFJjwpMdJnkwRF4ubMO3RmEB8RAIXeHQu4OT4XSpTqVMUknIiJqgrYtu8JN5gEAcJN5oG2LrhJHROR8bu1M5mqdygTx9oaiREREZJaSqgIEKFujtOoauygRkUUxSSciIiIisjOuc82AiIiIiMhBMEknIiIiIrIzZiXpBQUF0Gg09R67efMmsrKyLBoUEREREZErMytJT05ORnZ2dr3HTp48idGjR1s0KCIiIiIiV9ZgE9H//d//RVFREQBAFEUsWrQIvr6+deZdunQJ9913n/UiJCIiIiJyMQ2eSe/bty+qqqpQVVUFAFCr1cbbtV/V1dWIiorCkiVLbBYwERER0d2oa7RSh0B0T8xqwfj0009j3rx5aNeunS1iIiIiImqy4go19p/PR1JkMFr4eEkdDt2j2lRVEASJI7Et9kknIiIip6EXRez85TJUNVoo3RUY0KUNZC6W3JFzaLAm/VYqlQppaWnYu3cv1Go19Hp9nTmZmZkWD46IiIioMS4WleGmVgcAqNbqcKmoHO2DmkscFVHjmZWkz58/H9u3b0f//v0RFBQEmYzt1YmIiMi+VGu0yC4ohU5vKBLQ6UWcKShBiL8PPN3MSnmI7IZZP7E7d+7ErFmzkJqaau14iIiIiJokr7TSWL8c1cofZ6+VQhRF5JVW8mw6ORyzTokrFAq0bdvW2rEQERERNVmIv49xcWF0a38AhsWGIf4+UoZF1CRmJelDhgzBpk2brB0LERERUZN5uikQ3dofcpkhUZfLBHRqHcBSF3JIZv3UhoSEYOXKlRg2bBhiY2Ph5VW3ndHcuXMtHhwRERFRY7QLbI6conIAgKdCjraBzSSOiKhpzGrB+PDDD9/5QQSB3V2IiIjILhRXqNHC1wvFlWr2SSeHxT7pRERERER2hr0UiYiIiIjsjFk16VFRUXfdijU7O9siARERERERuTqzkvRZs2bVSdJVKhWOHTuGX3/9FXPmzLFKcEREREREruiea9Lnz5+PqqoqLFq0yFIxERERERG5tHtuHDpo0CBMnjzZErEQERERkRXcuHEDRUVF0Gg0UofilNzc3BAYGAg/Pz+LPeY9J+lHjx6Fu7u7JWIhIiIiIgu7ceMGCgsLERwcDC8vr7uuM6TGEUURarUa+fn5AGCxRN2sJP25556rN6CioiKcPXsWo0ePtkgwRERERGRZRUVFCA4Ohre3t9ShOCVBEODt7Y3g4GAUFBTYNkmvqqqqN6BWrVohJSUFI0aMsEgwRERERGRZGo2m3t3iybK8vLwsWk5kVpL+xRdfWOwJiYiIiMi2WOJifZb+N25UTfqePXtw5MgRVFZW4r777kO3bt3Qp08ffuOJiIiI6J6Josi88k9m7TiqUqnw9NNP47nnnsOmTZtw9OhRrF+/HpMmTcKoUaOgUqmsHScRERER2YmHH34YkZGRePvtt+s9np+fj8jISERGRqK0tNSsxzx27BimTZt213mRkZFYvXp1o+J1RGYl6e+++y7Onz+PVatW4fDhw/juu+9w9OhRfPLJJ7h06RLee+9z3b0EAAAgAElEQVQ9a8dJRERERHZEEATs3Lmz3mMZGRmNfrz09HTk5OTcdd6GDRswbNiwRj++ozErSd+xYwdeeuklPPTQQybjSUlJePHFF7Fjxw6rBEdERERE9ik+Ph55eXk4c+ZMnWM7duxAZGSkVZ43Li4OgYGBVnlse2JWkl5dXY3WrVvXe6x169YoLy+3aFBEREREZN+io6MRGhpa56x5QUEBTp8+jcGDB5uMHzhwACNGjEBsbCz69OmDpUuXQqfTAQBmzZqFLVu24MKFC4iMjMThw4exefNmJCQkYNWqVUhISEDfvn2hUqnqlLucPXsWzz77LLp164ZevXph9uzZKCsrAwDodDosXrwY/fr1Q5cuXTB06FB8+eWXVv6XsQyzkvTo6Ghs3bq13mObN29Ghw4dLBoUEREREdm/gQMH1il5ycjIQNeuXXH//fcbxw4dOoQJEyYgJCQEH374IcaPH4/PPvsMb731FgBg8uTJ6Nu3L0JDQ7FhwwZ07twZAFBRUYH//Oc/eOeddzB79uw6vd7z8/Px1FNPobKyEosXL8bcuXNx4MABTJ8+HQCwcuVKbNq0Cf/617+wevVqJCUlYd68edi/f781/1kswqzuLv/85z8xevRoFBQUYNCgQWjRogWKi4uxY8cOnDp1CsuXL7d2nERERERmEUURANsO2sLgwYOxevVqXLx4Ee3atQNgKHUZMmSIybz3338fXbt2Na5j7NOnD5o1a4bZs2dj/PjxCAsLg7+/PwoKChAXF2e8n06nw5QpU5CUlFTv869duxZyuRyrVq2Cj48PAMDDwwOLFy/G9evX8fPPP6NLly547LHHAAAJCQnw9PR0iL7xZp1J7969O9LS0nDz5k0sWrQIM2bMwKJFi1BTU4Ply5ejf//+1o6TiIiIyCyCIDBBt5GYmBi0atUK33//PQDg2rVrOHXqFAYNGmScU11djVOnTqF///7QarXGrz59+kCv1+Pw4cN3fI6IiIgGj504cQLdu3c3JugAkJycjIyMDNx333148MEH8eOPP+Lpp5/G2rVrcfXqVbz44ot48MEH7/GVW5/ZfdL79u2LPn36QK1Wo6KiAkqlEjKZjFvMEhEREbkoQRCMJS/PP/88MjIyEBsbi1atWhnniKIIvV6Pd999F++++26dx/jjjz/u+Bz+/v4NHisvL0dUVFSDxydOnAgvLy+kp6djwYIFWLBgAR544AG8/fbbCAsLM+MVSsesJL2mpgYLFizAr7/+iq+//hre3t44ePAgnnvuOaSmpmL69OmQy+XWjpWIiIiI7MzAgQOxdu1a5OXlISMjo06pi0xmKNx4/vnnkZycXOf+99KpxcfHp04f9pqaGhw6dAjx8fHw8/PDmDFjMGbMGBQUFGDXrl1YtmwZ5s+fj1WrVjX5eW3BrHKXJUuWYPv27cZ6HgDo3LkzZs2ahU2bNmHFihVWC5CIiIiI7Fe3bt3QsmVLfPXVVzh58qRJqQtgqBGPiorC1atXERMTY/xyc3PDkiVL8PvvvwP4K5mvT+06g/qe++jRo6iqqjKOHTp0CBMnTkRJSQnGjRuHhQsXAjB0JHzmmWcwYMAAXLt27V5fttWZdSb9u+++w+zZszF8+HDjWLNmzfDUU09BoVBgxYoVeOGFF6wWJBERERHZJ5lMhkceeQRr1qwx1qjfbtq0aXjhhRfg4+ODRx55BNevX8f7778PmUyGjh07AgD8/Pzw+++/48CBA+jSpYvJ/RtaYzB69Ghs2bIFEydOxPjx46FSqfDOO+9g4MCBiIiIwAMPPIC0tDS0bNkSMTExuHjxInbs2IHRo0db/h/CwsxK0m/cuIEWLVrUe6xVq1YoKSmxaFBERERE5DgGDhyI9evX1+mNXis5ORkfffQRli9fjs2bN8PHxwe9evXCjBkzjJ1WUlJSsHv3bkyaNAmLFy8263lDQ0Oxbt06LF68GC+++CJ8fX0xePBgvPjiiwCA5557Dnq9Hl9++SXef/99tGzZEqNHj8aUKVMs88KtSBAbun5wi9TUVPj5+WH58uV1PslMnToVf/zxB7766iurBUlERERETZOdnY3o6Gipw3AJlvy3NutM+tSpUzF+/HgMGTIEffv2RUBAAEpLS7Fv3z5cuXIFn376qUWCIemxtywRERGR9MxK0hMSErB+/XqsXLkS27dvR3l5OXx8fBAfH4+FCxeia9eu1o6TbITJOREREZH0zO6THhsby51FyakUlasQ2Ix9/omIiMj+mNWCkcjZnLhUiKFvpeNETqHUoRARERHVwSSdXI5Wp8frGw5ABDBvwwFodXqpQyIXI4pigz1/yfHw+0lE1sAknVzOhgNnUVpZDQAoqajGxgNnJY6IXI0gCFz/4UT4/SQia2CSTi6l+IYaaRlZUNdoAQDqGi0+yshCSYVa4siIiIiI/mJWkv7hhx+isLD+2t38/Hy89dZbFg2KyFoysnKg05uWt+j0IjKyciSKiIiIiKiuBpP0srIylJWV4fr161i+fDkuXrxoHLv168CBA9i4caMtYyZqssHxEZDLTH/s5TIBg+IiJIqIiIiIqK4GWzDOmDEDBw4cMN4eP358gw/y0EMPWTYqIisJ8PXC84PijCUvnu4KTB4UhwBfL6lDIyIiIjJqMEn/97//jYMHD0IURbz66qt4/vnnERYWZjJHJpPBz88PiYmJVg+UyFJSekdh48GzyCupRAtfTzzRO0rqkIiIiKiJHnvsMWRnZ+Prr79GbGyscTwvLw/Jycl3vO+PP/6Ili1bAgAuX76M5cuX4+DBgygrK4O/vz969eqFF154AaGhoVZ9DfVpMEkPCgrC3//+dwCGlet9+/aFv7+/zQIjshaFXIZ5T/TGhLQMzEvpDYWc66eJiMj1zJz9Kq6XlUv2/Pc1b4bFCxfc02OcP38eZ8+eRfv27esk6bVeeuklJCQk1Hv/5s2bAwB+//13pKSkoH379nj11VfRokULFBQUYPXq1RgxYgQ2b96M1q1b31OsjWXWjqN///vfodfrcebMGahUqnr7wXbv3t3iwRFZS3zbIHw793Gn33G09neV7eGIiOh218vKMfTZFyV7/m9XvXfPj7FlyxZERUXhsccewwcffIDZs2fD29v0vb1NmzaIi4u74+Okp6dDr9dj9erV8PDwMI4nJSVhwIABWLduHWbOnHnP8TaGWUn6iRMn8K9//QtFRUX1JuiCICA7O9viwRFZk7Mn6ACTcyIicl46nQ7bt2/HY489hiFDhmDRokX49ttv8fjjjzf6sUpKSgAA+ts6wAUEBGDOnDlo0aKFRWJuDLOS9H//+9/w8/PD66+/jvvvvx8yGcsDiIiIiEg6Bw8eRFFREYYNG4agoCAkJiYiPT29TpKu1+uh1Wrr3F8mkxlz2j59+mD9+vVISUlBSkoKEhMT0bZtWwBoUtJvCWYl6efPn8eyZcvQt29fa8dDRERERGYqKle5xJXh+mzduhWdOnVCx44dAQB/+9vfMHPmTPz2229o3769cd6LL9Zf0jN06FC8956h5KZ///549dVX8f7772P+/PkAgJYtW6Jv374YN24c2rVrZ+VXU5dZSXqrVq1QVVVl7ViIiIiI7pmrrMc5cakQE9Iy8MnkQYiPCJI6HJuqrKxEZmYmJk6ciBs3bgAAevbsCS8vL3z99deYPXu2ce6MGTPQs2fPOo9Ru2i01ujRozF8+HDs27cP+/fvx+HDh5Geno5t27Zh2bJl6N+/v3Vf1G3MStKnTZuGpUuXIiwsDF26dLF2TEQ24cpnH4iInJmzJ+cAoNXp8fqGAxABzNtwAJtefsylupVlZGRArVZj6dKlWLp0qcmxbdu2Yfr06cbboaGhiImJMetxfXx8MHToUAwdOhQAcOzYMUyfPh3z58+3zyT9008/RXFxMUaMGAG5XA53d3eT44Ig4Oeff7ZKgETW4MpnH4iIyPFtOHAWpZXVAICSimpsPHAWT/XpJHFUtrN161bExMTg5ZdfNhn/7bffMH/+fOzatavedoz10el0GDBgAFJTU+ts3vnggw9i3LhxWLBgAdRqNby8bLf5oVlJuq0/ORBZk6uffSAiIsdWfENt3DkbANQ1WnyUkYVB8REusYN2QUEBjh49ijlz5tTpf/7ggw8iLS0N6enpZifpcrkcLVu2xMaNGzFy5EgolUqT45cvX0ZISIhNE3TAzCR9ypQp1o6DyGZc/ewDERE5toysHOhuaxWo04vIyMrBU0nO/362bds2CIKAQYMG1Tkml8sxZMgQrFu3DgUFBQAMSXZWVla9jxUWFgZ/f3/Mnj0bY8aMweOPP46nn34a7du3h0qlwq5du7Bp06Y6JTW2YFaSDgAVFRX44osvcOjQIRQXF+ODDz7A7t27ER0djaSkJGvGSGQxrn72gYiIHN/g+AikZWQB+CtRl8sEDIqLkC4oG9q2bRu6deuGwMDAeo8PGzYMn3/+OdLT0wEAS5YsafCxFi9ejL/97W+Ij49Heno6Vq5ciZUrV6KkpAReXl6IjY3FmjVrGtyx1JrMStLz8vKQmpoKlUqFBx54AMeOHUNNTQ3OnTuHpUuX4qOPPmJ7RnIIrn72gYiIHF+ArxeeHxRnPOnk6a7A5EFxjT7ZdF/zZhbZ9bOp7mverEn327Fjxx2Px8bG4ty5cwAMSbi5OnTogHfeeadJMVmD2ZsZtWzZEmvWrIGHh4exw8u7774LrVbLJJ0chquffSAiIueQ0jsKGw+eRV5JJVr4euKJ3lGNfozFCxdYITLLc5WWmrcza7XcTz/9hEmTJkGpVNb5Bxo5ciTOnz9vleCILK327IOXu+HzaVPPPhAREUlJIZdh3hO9IQCYl9LbqRsgCILgcgk6YGaS7u7ujps3b9Z7rKysrE5LRiJ7ltI7CgG+ngDQ5LMPREREUotvG4Rv5z7OVsJOyqwkvW/fvnj//feRm5trHBMEAWVlZfj444/x0EMPWSs+IourPfsAOP/ZByIicm7clM95mZWdzJo1C+7u7vif//kfPProowCAOXPm4JFHHkFFRQVmzpxp1SDJdmrrvmr/S0REDePfTCKyFrOSdH9/f2zevBlz585FZGQkevXqhdDQUEyZMgVbt25FUJB9XWbJzMxEfHy8yZgoikhLS0O/fv3QtWtXjB07FhcvXjSZU1NTgwULFqB3796Ij4/HtGnTUFhYaMvQJScIAn4rLHPq2q/azYwAw2ZGWp3+LvcgIqqfIAi4WnbWqf9mEpE0zO6T7uHhgZEjR2LkyJHWjOeeHT9+vM4WsQCwfPlyfPzxx5gxYwaCg4ORlpaGMWPG4Ntvv4Wvry8A4PXXX8cPP/yAV155Bd7e3liyZAkmTpyIzZs3Qy6X2/qlkJVwMyMiIiKyd2Yn6d9++y1OnjyJGzdu1DkmCAIWLJC2jU9NTQ3Wrl2LpUuXwtvbGxqNxnissrISq1evxpQpU/DMM88AMGwb279/f6Snp2Ps2LG4cuUKtm7dinfffRdDhw4FAERFRWHw4MHIzMzEwIEDJXldZFmutpmRKIoQBMH4XyIiInIMZpW7vPXWW3jppZeQkZGB7Ozser+ktm/fPnz88ceYOXMmUlNTTY6dPHkSKpUKycnJxrFmzZqhR48e2L9/PwBDm0kA6Nevn3FOeHg4OnToYJxDju9Omxk5I0EQcKnkJBN0kkRRuUrqEIiIHJZZZ9K3b9+OSZMm4cUXX7R2PE0WExODzMxM+Pn5YdmyZSbHarvShIaGmoyHhITghx9+AADk5OSgRYsW8Pb2rjPn1q425Ni4mRGRbZy4VIgJaRn4ZPIgtocjImoCs5J0uVyOHj16WDuWe3KnxauVlZVwd3ev089dqVSisrISAFBVVQWlUlnnvkqlEr///rtlgyXJWGorZSJqWO3ibBGGxdmbXn6MrU6JyGKefvppHDlyxGTM09MTbdq0wRNPPGFSUaHVarFhwwZs3boVv/32GxQKBdq1a4fhw4dj+PDhkMlM/zZdvnwZy5cvx8GDB1FWVgZ/f3/06tULL7zwQp2TvdZmVpL+5JNP4vPPP0e3bt3g5eV4ycyd6nFrx82Zcye5ublQq9VND9JOREdHG//fHsqYrKFrAODrIYe6Rgs/DzliA5z3tbrC99PRdOzYEXK5HKIo4uzZs1KHYxXf/fI7im8YSl3+KFdh2Za9GNz5fomjsg7+jtmn2u8LvycGGo2m3hxl+qy5KCq9LkFEBoH+9+Hdt9+667za3LP2Neh0OsTFxeGll14yzlGpVPjmm2/w5ptvQqPRYOTIkaiursbUqVNx6tQppKSk4LnnnoNer8fBgwfxxhtv4LvvvsOSJUvg4eEBACgsLMTIkSPRtm1bzJgxAwEBAbh27RrWrl2LESNGYP369WjVqtUdY9VoNHf8ubv1b8bdmJWkjxkzBsOHD0efPn0QEREBT09Pk+OCIGDt2rVmP6mt+fr6oqamBhqNBm5ubsbxqqoqY2cXHx8fVFVV1bnvrXPuJDw83GLx2ovG/CA5mgVeAZiQloEFT/dDFxe5FO/M309Hc7mkAm0CfJ3ye1J8Q43N607gptZQUnZTq8emE9fwzKCeTn/Fyhm/n46O3xOD7Ozsek+yFl8vQ879/Wwf0J9khXsbdfK3dq5cLoevry8SEhJMjvft2xfZ2dnYsGEDxo4di8WLF+PkyZP44osvEBcXZ5z3yCOPYMCAAXj22WexYsUKzJo1C4ChvFuv1+Ozzz4zJu4AkJycjAEDBiA9Pf2uewO5ublZ7OfOrOuPc+bMwdWrV9GuXTu0bNkSvr6+Jl8+Pj4WCcZa2rRpA1EUkZeXZzKel5eHiAhDLXJ4eDiKi4tRXV3d4BxyHtxKmcg6XG1xNtknbjLlmmQyGaKiolBQUIDS0lJ8/fXXSElJMUnQa/Xu3Rt/+9vf8H//93+oqKgAAJSUlAAA9Lf9DQsICMCcOXNsXvpt1pn0ffv24bXXXsOTTz5p7XisIj4+Hh4eHti1axcmTJgAACgvL8eRI0cwZcoUAEBiYiJ0Oh1++OEHYwvG3NxcXLhwwTiHnAu3UiayPC7OJnsgCILxihW5lsuXLyMkJASHDx+GRqNBUlJSg3MHDhyILVu24ODBgxg0aBD69OmD9evXIyUlBSkpKUhMTETbtm0BAI8//ritXoKRWUm6n58fQkJCrB2L1SiVSqSmpmLp0qWQyWQIDw/HihUr4OPjgxEjRgAAwsLCMHjwYLz22muorKyEn58flixZgsjISAwYMEDiV0BE5Bi4OJuIbEEURWi1WuP///HHH/jyyy9x5swZzJ49G/n5+QBwx/y19lhBQQEAoH///nj11Vfx/vvvY/78+QCAli1bom/fvhg3bhzatWtnzZdUh1lJ+ujRo/HRRx+hU6dOCAgIsHZMVvHSSy9BJpPh008/hUqlQnx8PN5++22TevOFCxdi4cKFeOedd6DX69GrVy/MmTOHu40SETVCSu8obDx4FnkllWjh64knekdJHRIROZm9e/eic+fOJmOenp4YM2YMUlNT8dlnnwHAHXO4+o6NHj0aw4cPx759+7B//34cPnwY6enp2LZtG5YtW4b+/ftb9oXcgVlJelZWFs6fP4+kpCTcf//9dVoVCoKAb775xioBNsXUqVMxdepUkzGFQoEZM2ZgxowZDd7P29sbb775Jt58801rh0hE5LQUchmeeqgTFm87glF9OrH9IhFZ3AMPPIDZs2cDMOSh3t7eCA0NNTYICQ4OBgBcu3atweYetWfb77/ftPuUj48Phg4daix/PnbsGKZPn4758+fbX5KuVCoxcOBAa8dCREROQKvT49MfTgMAPs08jX8kdGSiTkQW5evri5iYmAaP9+7dG25ubti5cycSExPrnbNr1y64ubmhd+/e0Ol0GDBgAFJTUzF+/HiTeQ8++CDGjRuHBQsWQK1W26wduVlJ+sKFC60dBxEROYkv92ejpMLQz7j4hhpf7c9Gar/Od7kXEZHlNGvWDKmpqVi3bh2GDBmC7t27mxw/evQoNm3ahCeffBJ+fn4ADPXnGzduxMiRI+tUjdQuSLXlfkFmJemAYcem//73v/jpp5/wxx9/YO7cufj555/RuXNnREWx3pCIiAxJ+YffHUdt4zsRwLLvjmPIA225eJSIGu3WzSbvtPFkff71r3/h4sWLGD9+PEaNGmXs9PLjjz9i3bp1SEhIMCmDnj17NsaMGYPHH38cTz/9NNq3bw+VSoVdu3Zh06ZNWLp0qWVf3F2YlaRfv34d48ePx7lz59CuXTtcuHABVVVV2LlzJ9566y2sWbMGXbt2tXasRERk5zb/dB5avWlvaq1exOafzmPCI3yfIKLGEQQB1RrDZpOebsq7zDbl6emJFStWYPPmzUhPT8fXX38NAGjfvj1ee+01DB8+HDLZX6V48fHxSE9Px8qVK7Fy5UqUlJTAy8sLsbGxWLNmTZ3Nk6zN7HKXyspKfP/99wgKCkKXLl0AAB988AEmTJiAJUuW2PWOo0T1KSpXsVc6kaWZf5KLiCQW2MIfKNwr7fM3wRdffGH2XLlcjhEjRhhbbt9Nhw4d8M477zQpLkszK0nfvXs33njjDQQHB0On0xnH3d3dMW7cOEyfPt1qARJZw4lLhZiQloFPJg/irqNEFjS8Z0d8mnkaGt1fmxm5yWX4R8+OEkZFRPX5cMn/L3UIdAdmLbfX6XTw8PCo95hWq+W2u+RQtDo9Xt9wACKAeRsOQKvT3/U+RGSeAF8vvDA43nhCXQDwwpB41qMTETWSWUl6z549sXz5cpSXlxvHBEGARqPB559/XmfFLJE923DgLEorqwEAJRXV2HjgrMQRETmXJ5Oi0cLPkJS38PPCkw9FSxwREZHjMavcZdasWXjyySfxyCOPIC4uDoIgYOnSpbh06RJu3LiB9evXWztOIosovqE2blcOAOoaLT7KyMKg+Aie6SOyEIVchoWj+uDIb7+jR4f7nbZHem2nidDmUSa3iYgsway/nGFhYfjmm2+QkpKC8vJyhIWFobi4GP3798fWrVvRrl07a8dJZBEZWTnQ6U3LW3R6ERlZORJFROSc4tsGYdLArk695kMQBJz/46jxiwk6EVmS2X3SAwICuECUHN7g+AikZWQB+CtRl8sEDIqLkC4oIiIiotuYlaRv3bq1wWOCIECpVCIsLAwdO3L1Ptm3AF8vPD8ozljy4umuwORBcSx1ISIiIrtiVpI+Z84c6P8sEbi1k8vtO0B1794daWlpdbZSJbInKb2jsPHgWeSVVKKFryee6M0dc4mIiMi+mFWTvnLlSiiVSsycORO7d+/GqVOnsHfvXsydOxdKpRILFizAJ598gvz8fLz33nvWjpnonijkMsx7ojcEAPNSejvtojYiIiJyXGZlJ4sWLcLkyZMxduxYtGrVCu7u7ggKCsKoUaMwbdo0fPbZZ3jooYcwdepUfP/999aOmeiexbcNwt43n3TqRW2iaLj61Tagq8ltIiIisn9mlbtcuXIFHTp0qPdYREQELl++DAAICQkx6aVOZM+Unm5Sh2BVgiDDr78fMN7ufH9vCaMhIiK6d7NmzcKWLVvuOKdz587w8/PDmjVrTMbnzZuHL7/8EpMnT8Y///lPk2NDhw5Fhw4dsHTpUkuH3GRmJekdO3bEl19+id69e0MmMz35vmHDBmMLxpycHAQFOe+ZSSIiIiJ7UlSuQmAz7ybdd+bsGSgrL7VwROZr3swfixe+06j7TJ48GSNHjjTefuWVV9CmTRtMnjzZOLZhwwZ8//330Ov1JnnrwYMH0bx5cxw8eNAkSb9+/TouXbqEZ5555h5ejeWZlaRPnz4dEydOxJAhQ9CvXz/4+/ujtLQUe/bswbVr17BixQqcOnUKixYtsrsXSERkL2oX2bcJ8DW5TUTUFCcuFWJCWgY+mTyoSeWbZeWlePSFB60QmXm+WX6s0fcJCwtDWFiY8banpyf8/f0RFxdnHCsvL8fmzZtx4cIFREZGAgDy8/Nx+fJlTJ06FR999BEqKirg62v4W3zixAmIoojExMR7fEWWZVZNes+ePfH111+jS5cu+O677/Dhhx8iMzMT8fHx2LJlC3r16oWqqiqMHz8eU6ZMsXbMZCW1nXvaBzU3uU1EliEIArILSo1fTNCJqKm0Oj1e33AAIoB5Gw5Aq+O6o1oPPPAA5HI5srKyjGMHDx7Efffdh9TUVIiiiJ9++sl47Oeff0br1q3Rpk0bKcJtkNmbGUVGRuLdd99t8HhiYqLdfQKhxhEEAaevFhtvx4S2kDAaIiIiasiGA2dRWlkNACipqMbGA2fxVJ9OEkdlH3x8fNC5c2dkZWUhJSUFgCFJT0xMRPPmzdG5c2ccOHAAjzzyCADg+PHj6Nmzp5Qh18vsJP369es4deoUampqjGdYRVGEWq1GVlYW5s2bZ60YiYiIiMxya1mZs5aUFd9QGzflAwB1jRYfZWRhUHwEN+f7U0JCAnbt2gXA8DNx6NAhTJ8+HQDQq1cv7NixAwBQU1ODX375BU8++aRksTbErCR9586dmDFjBm7evFlnAyMACA8Pt1qAREREROaqLSsDgOjW/hJHYx0ZWTnQ6U3LW3R6ERlZOXgqiWfTAaBHjx5YtWoVysrKUFBQgOvXr6NXr14ADNUfK1euREFBAQoKClBTU2OXZ9LNqklfvnw5OnXqhC1btmD48OEYNmwY/vvf/2LmzJlwc3PD7NmzrR0nEREREQEYHB8B+W3d9uQyAYPiIiSKyP7U1qWfPHkSBw4cQJs2bRAcHGw85unpiaNHj+L48eNo3749AgMDJY64LrOS9EuXLmHChAmIjo5Gz549kZ2djXbt2mHs2LEYN24c0tLSrB0nEREREQEI8PXC84Pi4K6QAwDcFXJMHhTHUpdbKJVKxMTE4PTp0zh8+LDJukl3d3c88MADOHHiBI4fP263ayrNStIVCgWUSiUAQ2lLTk4ONBoNAMMlg0uXLiY2ynkAABviSURBVFkvQiIiIiIyMbxnR2PJi06vxz96dpQ4IvvTo0cP/PLLLzhx4gR69zbd0C8xMRHnz59HVlaWXZa6AGYm6Z07d8bOnTsBwLhx0bFjht6W165ds1JoRERERFSfTT+dN5a8yGUybP7pvMQR2Z+EhAT8+OOPUKlUdRLxXr164dSpU7hx4wYSEhIkivDOzFo4OnHiREyaNAklJSV47733MHjwYMyYMQNJSUn44YcfjIX4RERERGRdtd1darQ6AECNVud03V1ubVDi6aZs8NiddOvWDYDhZLOfn5/JsU6dOkGpVCIsLMy4qZG9MStJT0pKwldffYXffvsNAPDmm29i/vz5OHnyJPr3749XXnnFqkESERERkYGlurs0b+bfpF0/LaV5s4a77wiCAFXNjXqPebv/lXBv27atwcfw8vLCL7/80uDjHz582MxIpWF2n/TY2FjExsYCMLzohQsXWi0oIiIiIqrf4PgIpGVkAdBj4iNd8fHOk03q7rJ44TvWCZAswqwkfevWrQ0eEwTBeLmgY0cuWiAiIiKyptruLmkZWZg0sCs+3/sru7s4IbOS9Dlz5kD/52WV2t1GAdTZ2Kh79+5IS0szdoIhIiIiIstL6R2FjQfPAgBa+Hriid5REkdElmZWd5eVK1dCqVRi5syZ2L17N06dOoW9e/di7ty5UCqVWLBgAT755BPk5+fjvffes3bMRERERC5NIZdh3hOGtoLzUnpDITcrpSMHYtZ3dNGiRZg8eTLGjh2LVq1awd3dHUFBQRg1ahSmTZuGzz77DA899BCmTp2K77//3toxExEREbm8+LZBhv9GBEkcCVmDWUn6lStX0KFDh3qPRURE4PLlywCAkJAQlJeXWy46IiIiIrpnt5Yrk3VY+t/YrJr0jh074ssvv0Tv3r0hk5nm9Rs2bDBucJSTk4OgIH6aIyIi5yaKegiCDB1bdm/wGJG9cHNzg1qthre3t9ShODW1Wg03NzeLPZ5ZSfr06dMxceJEDBkyBP369YO/vz9KS0uxZ88eXLt2DStWrMCpU6ewaNEiPPPMMxYLjoiIyB4JggxZ+Zn1HosLTrZxNER3FhgYiPz8fAQHB+P/tXf3wVHV9x7HP2dJggFiRFQYgRIIEIKkJANNwdQ2TBwiaDXaOmgb41NTWoSOZUiwaLF3RimMPAzQBBIgDFecqtTrhduKOFIcUFOp4nAZLiQkGgvYShSRPOHm4dx/TJrNA+Rhz57f7r5fMwzkt3tyvr+TfMNnT357TnR0dI9uBISes21bDQ0NOnv2rF9PVvcopM+YMUO7du1ScXGx9u7dqy+//FLDhw/X9OnTVVhYqPj4eJWWlurRRx/V/Pnz/VYcAAAAuta6vOJKobv1bpuffvqpGhsbHa/LX7xNl7ocj4q4KsCVXFlkZKSGDx/e6c6m/WHZLFJCO8dOf97276TR17lYCfrqcr9q59fw7jvx6fm2fyfe2P3d9mA+zqSbq7XP6LHgFu491uM7jl68eFHvvfee6uvru1wYn5WV5dfCAPSNZXn0wZl9XT42bVRmgKsBAAB90aOQ/te//lWLFy/WpUtd/9rBsixCOgAAAOAnPQrpa9as0ZQpU/Tb3/5WI0aM6HSFFwAAAAD+06OQ/o9//ENPPfWUEhISnK4HCIievtkGAADADT0K6fHx8Tp79qzTtQABQzhHoNm2LcuyunwjW+tjAAC06lFIX7p0qZ588knFxMRo6tSpuuqqzpe+ueaaa/xeHACECsuy9EHVuS4fmxZ3Q4CrAQCYrkch/de//rXq6ur0+OOPd/ucEydO+K0oAAAAIJz1+Ew6AACAqdovG+u4rIwlZQhGPQrpd999t9N1AAAA9BlLyhBqur2W4pYtW1RdXe0z5vV6Oz2vsrJSjzzyiP8rAwAAAMJUtyF97dq1+uc//9n2cXNzs6ZOnarjx4/7PK+2tlalpaXOVQjHtb+DbNLo69r+dHwMAHrDtm1+hgBAH3W73KWrH6z8sA1NlmXp8Ef/6vKx1HEjAlwNgFDBGmAA6DtuHQoAAAAYhpAOAAAAGIaQDgAAABimR5dgbI81hgAAAPCnFrtFHsv33HHyyIw+bxsKLhvSV61apZiYGJ+xFStWaMiQIW0f19TUOFMZAAAAwoLH8ujdqv/u07Y3x2X5uRozdBvSv/Od70iS6urqLjvm8Xg0ffp0p+oDHNFi2/JYVtvfAAAEm9ar7rHKITR1G9Kff/75QNYBBJTHsvQ/71fqh9Pj3S4FAIA+IZyHttBbwAMAAAAEOUI6AAAAYBhCOgAAAGCYXl+CEQCAcNPXy8OF6qXhADiPkA4AwBX09fJwoXppOADO4+U9AAAAYBjOpAMhoOOv1KeNyuzTdgAAwAyEdCAEeCyP3v74lV5v972xP3KgGgAA0F+cQgMA+F3LN3dCbP0bANA7hHQAgN+13tXXwx0RAaBPCOkAAACAYQjpAAAAgGEI6QAAAIBhCOkAAACAYQjpAAAAgGG4TnqYarFtn6supI4b0aftglFLiy2Px9IPp8f7fAz4U1e9Mi3uhj5tBwAIP4T0MOWxLL118kyvt0ufNMqBagLL47FU9MbRto/nz57qYjUIVR7L0qGys73e7paEkQ5UAyAUtb6o58V9aGK5CwAAQBDifgShjTPpAAC/YkkZAqXjGeSeLCnrajvARIR0AIBfsaQMgcKyMoQylrsAAAAAhiGkAwAAAIYhpAMAAACGIaQDAAAAhuGNowAAAHBci90ij9X9+eGb47ICvk+TEdIBAADgOI/l0f5Tzwd0nxkTHgjo/vwpOF9aAAAAACGMkA4AAAAYhuUuAAAo8Otlg3mtLNzX/s6+3NU3NBHSAQBQ4NfLBvNaWbiv/Z19uatvaArbl/D79+9XSkqKz5ht29q0aZPS09M1depUPfzww6qsrHSpQgAAAISrsAzpR44cUV5eXqfxgoICbdq0SY888ojWrl2rmpoaPfTQQ6qpqXGhSgAAAISrsArpXq9XW7ZsUU5OjiIifFf61NbWatu2bVq4cKFycnKUkZGhbdu2qa6uTn/6059cqhgAAADhKKxC+sGDB1VcXKz8/HxlZ2f7PHb06FHV19crIyOjbSw2Nlapqak6dOhQoEsFAABAGAurkJ6UlKT9+/crJydHluX7LuiqqipJ0ujRo33GR40a1fYYAAAAEAhhdXWX4cOHd/tYbW2toqKiFBUV5TM+ePBg1dbWOl0aAAAA0CasQvrl2Lbd6ex6q+7G26uqqlJDQ4O/y3JMYmJin7c9ceKEHysJnPETJijym/cidLxcVWNTkypOnXKjrB6bMHGCIgZ037LfG/sjv+6vqblJp8rNPiYmC8cea9XV3INhTv35mvVVMBwXk9Fn/xYM83GjxySzjk1vjgEh/RsxMTHyer1qbGxUZGRk23hdXZ1iYmKuuH1cXJyD1ZnFrSbzh6dfeqfL8f+YlxYU83qzfEfA9nXrxAeD4piEolA87qE4J3/guLgn1I59qM3Hn4L12BDSvzFmzBjZtq0zZ85o7NixbeMdPwYAdK+5pUUDPJ4ub67S+hgA4MoI6d9ISUnRwIED9eabbyo3N1eS9NVXX+nw4cNauHChy9UBQHAY4PFc9jdWAICeIaR/Y/DgwcrOztb69evl8XgUFxenzZs3a8iQIbr33nvdLg8AAABhhJDezuLFi+XxeFRSUqL6+nqlpKRo5cqVPVqTDgAAAPhL2Ib0RYsWadGiRT5jERERWrJkiZYsWeJSVQAAAECY3cwIAAAACAaEdAAAAMAwYbvcJRy02LY8l7kRU/qkUQHdHxBqrvQ9f0vCyIDuDwg1PfmeD7c+a38p046XOuUyp6GFkB7CPJal1/+3KmD7u+3bcQHbF2ACj2Vp37FPAra/zKQxAdsXYIJA95hkfp9xmdPwwcstAAAAwDCEdAAAAMAwhHQAAADAMIR0AAAAwDC8cRQAAAA91mK3yGP17TxvxoQH/FyNM/ozR38hpAMAAKDHPJZHfz5e6HYZjrrjpgVul8ByFwAAAMA0hHQAAADAMIR0AAAAwDCEdAAAAMAwhHQAAADAMFzdBSGtuaVFAzz/fi36H/PS+rQdgK511Ss96TMne4zLwwEIBYR0hLQBHo9yN7/R6+22/GK2A9UAocfEHuPycABCASG9gy+//FIzZszoNJ6ZmakNGza4UBEAAADCDSG9g5MnT0qSSkpKNHjw4Lbxa665xq2SAAAAEGYI6R2UlZXpuuuuU1paz9YuAwAAAP7Gu046KCsrU0JCgttlAAAAIIwR0jsoKytTQ0OD7rvvPiUlJen73/++tm7dKtu23S4NAAAAYYLlLu00NzersrJS0dHRWrp0qW688Ua99dZbWrNmjS5duqSFCxe6XSIAAADCACG9g82bN+vGG2/UmDFjJEnf/e53VV9fr61btyo3N1cDBw7scruqqio1NDQEstQrSkxMDPg+T5w4EfB9Xk5/joETc5kwcbwiBkT2eftbJz7ox2qc0dTcqFPlFW6XERD0mHk9JrnzdXGDad8LTnDra2nasR0/YYIiI/4d2Xp6z4/GpiZVnDrl93rosb7rzbEjpLczYMAAzZw5s9P4LbfcohdffFGffPKJJk6c2OW2cXFxDlcXHEKpcZ2aSzhcvzmUvg9ME0rHNpTm4gaOn3NMPLZ9vR+BiXMJFm4fO9akt/PZZ5/ppZde0vnz533Gv/76a0nS0KFD3SgLAAAAYYaQ3o7X69Xy5cu1Z88en/F9+/YpLi5O119/vUuVAQAAIJyw3KWd0aNH64477tD69etlWZbi4+P1+uuv64033lBBQYHb5QEAACBMENI7ePbZZ1VYWKgdO3aourpa8fHx2rhxozIyMtwuDQAAAGGCkN7BVVddpcWLF2vx4sVulwIAAIAwxZp0AAAAwDCEdAAAAMAwLHcxXItty2NZfd7+tm/H+a8Yh/R3jkB/9ed7MDNpjJ+rcQZ9BjfRY0DvEdIN57EsvfpBaN+98e5p490uAWGOPgOcRY8BvcdyFwAAAMAwhHQAAADAMIR0AAAAwDCEdAAAAMAwhHQAAADAMIT0Drxer9atW6dZs2YpOTlZOTk5On78uNtlAQAAIIwQ0jv4/e9/r+eff165ubkqKChQdHS0cnJydPbsWbdLAwAAQJggpLdTU1OjXbt2adGiRfrJT36itLQ0rV+/Xk1NTdq9e7fb5QEAACBMcDOjdqKjo/Xyyy9r5MiRbWMRERGyLEter9fFygAAABBOCOntREREaPLkyZKklpYWnT17Vhs3bpRlWbrzzjtdrg4AAADhgpDejcLCQm3cuFGS9Ktf/Urjxo1zuSIEu4qKCpWXl+vD0+Vul+KoSQMrNH48t8eGO+gzwFn0WOAQ0rtx6623KjU1Ve+9954KCwvV2Nioxx9/vNvnV1VVqaGhwe91JCYm+v1zmujEiRN93jZ+/ARFRXb/rbzlF7P7/Lm74m1sUmXFqV5vd/r0ab/WYbL+fD3dQJ9dXrD0mESfmYoeu7wr9ZhkTp/RY/3Tm14gpHdj0qRJkqTU1FTV1dVp27ZteuyxxxQZGdnl8+Pi4gJYXejp7w/wO1b8l58qubI/L7unT/W2btNyvMrPFZnF7TMP6F5/+iwYekyiz+CuYOkxif/LrsSEHuPqLu1UV1frlVdeUW1trc94YmKivF6vLly44FJlAAAACCeE9HYuXryoZcuWad++fT7j77zzjoYNG6Zhw4a5VBkAAADCCctd2omPj1dmZqZWrVqlxsZGjR49Wm+88YZ2796tFStWyOPhNQ0AAACcR0jvYNWqVfrDH/6g4uJinTt3TuPHj9f69et12223uV0aAAAAwgQhvYPo6Gjl5eUpLy/P7VIAAAAQpli/AQAAABiGkA4AAAAYhpAOAAAAGIaQDgAAABiGkA4AAAAYhpDeQXNzs7Zv3645c+YoOTlZc+fO1c6dO2XbttulAQAAIExwCcYOCgsLVVxcrAULFig5OVnvv/++VqxYoYaGBuXm5rpdHgAAAMIAIb2d1rPojz76qH75y19KkmbOnKnz58+rpKSEkA4AAICAYLlLO7W1tcrKytLs2bN9xseOHavz58+rvr7epcoAAAAQTjiT3k5sbKyWL1/eafzAgQMaMWKEBg0aFNB6KioqVF5erqMf/Sug+w20pFhp/PjxbpeBMEWfAc6ix4C+IaRfwa5du/Tuu+/qqaeeuuzzqqqq1NDQ4Nd9nz592q+fz2TexiZFRfb92/HPy+7xYzXO6O8cg8mJEyfcLqHH6LOeCYYek+gzE9FjPUOPmceJHktMTOzxc8PjKPfRnj179PTTTyszM1PZ2dmXfW5cXJzf99/6hfz6gwq/f26TtJ55mJb3ny5X4qwPnstxu4SA6c0PIbfRZ6GFPjMPPRZa6LHAYU16N7Zv3678/Hylp6dr9erVsizL7ZIAAAAQJjiT3oW1a9eqqKhIWVlZevbZZxURwWECAABA4JA+O9ixY4eKioqUk5OjZcuWcQYdAAAAAUdIb+fcuXNavXq1Jk6cqNtvv11Hjx71eXzKlCmcVQcAAIDjSJztvP322/J6vSovL9e8efM6PV5aWqprr73WhcoAAAAQTgjp7dxzzz26557guAQSAAAAQhdXdwEAAAAMQ0gHAAAADENIBwAAAAxDSAcAAAAMQ0gHAAAADENIBwAAAAxDSAcAAAAMQ0gHAAAADENIBwAAAAxDSAcAAAAMQ0gHAAAADENIBwAAAAxDSAcAAAAMQ0gHAAAADENIBwAAAAxDSAcAAAAMQ0gHAAAADENIv4z9+/crJSXF7TIAAAAQZgjp3Thy5Ijy8vLcLgMAAABhiJDegdfr1ZYtW5STk6OIiAi3ywEAAEAYIqR3cPDgQRUXFys/P1/Z2dlulwMAAIAwxKniDpKSkrR//35dffXV2rhxo9vlhIWKigqVl5er8ez/uV2KoyoqKjR+/Hi3y0CYos8AZ9Fj8DfLtm3b7SJMtXHjRpWUlOjDDz+84nOrqqrU0NDg9xomTJioiIgBfv+8Jjl5skzl5eUhP8+x48ZpwoR4RQyIdLsURzU1N+pUeYXbZfQKfRY66DMz0WOhgx7rn8TExB4/l5B+Gb0J6QAAAIC/sCYdAAAAMAwhHQAAADAMIR0AAAAwDCEdAAAAMAwhHQAAADAMV3cBAAAADMOZdAAAAMAwhHQAAADAMIR0AAAAwDCEdAAAAMAwhHQAAADAMIR0AAAAwDCEdAAAAMAwhHQAAADAMIR0AAAAwDCEdAAAAMAwhHQAAADAMIR0AAAAwDCEdAAAAMAwhHQAAADAMIR0AAAAwDCEdAAAAMAwhHQAAADAMIR0AAAAwDCEdAAAAMAwhHQAAADAMIR0BK3m5mZt375dc+bMUXJysubOnaudO3fKtm1Jkm3b2rRpk9LT0zV16lQ9/PDDqqys7PbzrVixQvPnz+80XlJSooSEhE5/Dhw44NjcABMEqseampq0YcOGts/z4x//WKWlpY7NCzBFIHrsiSee6PL/sISEBD3wwAOOzg/9E+F2AUBfFRYWqri4WAsWLFBycrLef/99rVixQg0NDcrNzVVBQYGKi4u1ZMkSjRw5Ups2bdJDDz2k1157TTExMT6fa+fOndqxY4fS09M77efkyZOaPn268vLyfMbHjRvn5PQA1wWqx5555hnt3r1beXl5+ta3vqU//vGPmj9/vl599VXFx8cHaLZA4AWixxYsWKD77rvPZ+zw4cNas2aN7r33XqeniP6wgSDU1NRkp6Sk2OvWrfMZ/93vfmfPmDHDrqmpsZOTk+2ioqK2xy5cuGCnpKTYJSUlbWOff/65vXTpUnvSpEn2tGnT7J///Oed9nXnnXfazz33nHOTAQwUqB77+OOP7YSEBHvv3r1tY19//bV922232Tt37nRodoD7Avn/WHs1NTX2D37wAzs/P9+/E4LfsdwFQam2tlZZWVmaPXu2z/jYsWN1/vx5/e1vf1N9fb0yMjLaHouNjVVqaqoOHTrUNrZ582YdOXJE27ZtU2JiYqf9NDU1qbKyUgkJCc5NBjBQoHps//79io2NVWZmZttYVFSU9u7dq5/+9KcOzAwwQ6B6rKOioiLV1tYqPz/ff5OBIwjpCEqxsbFavny5Jk+e7DN+4MABjRgxQp999pkkafTo0T6Pjxo1SlVVVW0f33///Xrttdd08803d7mfjz76SI2NjTp06JBmzZqlm266SfPmzdPRo0f9OyHAMIHqsbKyMo0bN0779u3TnDlzNHnyZN111106fPiwfycEGCZQPdZedXW1duzYodzcXA0bNqz/k4CjCOkIGbt27dK7776rn/3sZ6qtrVVUVJSioqJ8njN48GDV1ta2fTxu3DhFRHT/1oyysjJJ0ueff65nnnlGGzZskGVZevDBBy/75h0gFDnRY+fPn9cnn3zS9oa3oqIiXXvttcrNzdWZM2ccmwtgIid6rL0XX3xRAwYM0P333+/XuuEMQjpCwp49e/T0008rMzNT2dnZsm1blmV1+dzuxrsyY8YMbd68WUVFRUpLS1NGRoa2bt2qQYMGadu2bf4qHzCeUz3W1NSkL774QmvWrFFWVpZuueUWFRQUaMiQIdq6dau/ygeM51SPtbJtWy+//LLuvvtuXX311f0tFwFASEfQ2759u/Lz85Wenq7Vq1fLsizFxMTI6/WqsbHR57l1dXWd3hF/Oddff71mzZqlyMjItrEhQ4YoJSVFJ0+e9NscAJM52WODBg1SdHS0pk+f7jOWnJys8vJyv80BMJmTPdbq2LFjOnfunObOneuvsuEwQjqC2tq1a7Vy5Urddddd2rBhQ9uvBceMGSPbtjv9uvzMmTMaO3Zsjz//3//+d/3lL3/pNH7p0iUNHTq0f8UDQcDpHhszZoyam5vV3NzsM97U1NSns4VAsHG6x1odPHhQ1113naZNm+aXuuE8QjqC1o4dO1RUVKScnBytXLnSZ01eSkqKBg4cqDfffLNt7KuvvtLhw4c1c+bMHu+jtLRUS5cuVXV1ddtYdXW1jhw5otTUVP9MBDBUIHosLS1NXq/X5+ZgFy9e1IcffqiUlBT/TAQwVCB6rNWxY8eUlJTEi98gws2MEJTOnTun1atXa+LEibr99ts7XW1lypQpys7O1vr16+XxeBQXF6fNmzdryJAhvbp5w7x58/TCCy9o/vz5euyxx+T1elVQUKChQ4cqOzvb39MCjBGoHktLS9PMmTP15JNP6sKFC7rhhhtUVFQkScrJyfHrnACTBKrHWp06dcrnUqcwHyEdQentt9+W1+tVeXm55s2b1+nx0tJSLV68WB6PRyUlJaqvr1dKSopWrlzZq7V8w4cP1wsvvKDnnntOv/nNb9Tc3Ky0tDQ98cQTGjx4sD+nBBglUD1mWZYKCgq0du1arVu3TvX19UpOTtbOnTt1ww03+HNKgFEC1WOtvvjiC94wGmQs27Ztt4sAAAAA8G+sSQcAAAAMQ0gHAAAADENIBwAAAAxDSAcAAAAMQ0gHAAAADENIBwAAAAxDSAcAAAAMQ0gHAAAADENIBwAAAAzz/2UNFUfCysk5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 841.68x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pdf = articles[metrics+[\"year\"]]\n",
    "pdf = pdf.melt(value_vars=metrics, value_name=\"Engagement count\", id_vars=\"year\", var_name=\"Metrics\")\n",
    "\n",
    "plt.figure()\n",
    "sns.boxenplot(x=\"year\", y=\"Engagement count\", hue=\"Metrics\", data=pdf, palette=cm)\n",
    "\n",
    "plt.yscale(\"log\")\n",
    "\n",
    "yticks = [1,2,3,5,10,100,1000,10000]\n",
    "plt.yticks(yticks, [\"{:,}\".format(_) for _ in yticks]);\n",
    "plt.xlabel(\"\")\n",
    "sns.despine(top=True, bottom=True, left=True, right=True)\n",
    "\n",
    "if save_figs:\n",
    "    plt.savefig(figs + \"supplemental_fig_8_metrics_over_years.png\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/asura/.virtualenvs/altmetrics/lib/python3.5/site-packages/ipykernel_launcher.py:9: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
      "  if __name__ == '__main__':\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 841.68x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pdf = df.dropna()\n",
    "pdf = pdf[pdf.type != \"AES == POS\"]\n",
    "sort_med = pdf.groupby([col, \"type\"])['Absolute difference between AES and POS'].median().to_frame(\"median\").groupby(col)['median'].max()\n",
    "pdf['sort'] = pdf.apply(lambda x: sort_med[x[col]], axis=1)\n",
    "\n",
    "pdf = pdf.sort_values([\"sort\", col, \"type\"])\n",
    "\n",
    "diff_disc_counts = base[base['diff']>0][col].value_counts()\n",
    "pdf.disc = pdf[col].map(lambda x: \"{} ({})\".format(x, diff_disc_counts.loc[x]))\n",
    "\n",
    "\n",
    "plt.figure(figsize=((11.69,10)))\n",
    "sns.boxenplot(y=col, x=\"Absolute difference between AES and POS\", hue=\"type\", data=pdf,\n",
    "              palette=cm, saturation=.9)\n",
    "plt.xscale(\"log\")\n",
    "\n",
    "h, l = plt.gca().get_legend_handles_labels()\n",
    "plt.legend(h, l)\n",
    "\n",
    "plt.xlim(1, plt.gca().get_xlim()[1])\n",
    "\n",
    "plt.ylabel(\"\")\n",
    "# plt.xticks(rotation=45, ha=\"right\");\n",
    "\n",
    "ticks = [1, 2, 3, 5, 10, 50, 100, 500, 1000, 5000, 15000]\n",
    "plt.xticks(ticks, ticks)\n",
    "\n",
    "plt.grid(axis=\"x\", linestyle=\":\")\n",
    "plt.grid(False, axis=\"y\")\n",
    "\n",
    "sns.despine(left=True, right=True, bottom=True, top=True)\n",
    "\n",
    "if save_figs:\n",
    "    plt.savefig(figs + \"supplemental_fig_9_letter_value_AES_POS_diff.png\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# References\n",
    "\n",
    "Milojević, S. (2010). Power law distributions in information science: Making the case for logarithmic binning. Journal of the American Society for Information Science and Technology, 61(12), 2417–2425. doi: 10/bm7ck6"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "altmetrics",
   "language": "python",
   "name": "altmetrics"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}