json 笔记本feb-13
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{
"metadata": {
"name": "Decision Making"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import os, datetime, re\n",
"import numpy as np\n",
"import pandas as pd; pd.set_printoptions(max_rows=200, max_columns=20)\n",
"import ujson as json\n",
"import mongo_util\n",
"from collections import Counter\n",
"\n",
"if not os.getcwd().endswith('decision_making'):\n",
" os.chdir('decision_making/')\n",
" \n",
"import timeseries_plotting as tsplot"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 139
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Query Twitter API"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import tweepy\n",
"\n",
"with open('oauth_keys.json', 'rt') as f:\n",
" keys = json.load(f)\n",
"auths = []\n",
"for consumer_key, consumer_secret, access_key, access_secret in keys:\n",
" auth = tweepy.OAuthHandler(consumer_key, consumer_secret)\n",
" auth.set_access_token(access_key, access_secret)\n",
" auths.append(auth)\n",
"api = tweepy.API(auths, retry_count=3, retry_delay=5, retry_errors=set([401, 404, 500, 503]), monitor_rate_limit=True, wait_on_rate_limit=True)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 102
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pymongo\n",
"import mongo_util as mu\n",
"conn = pymongo.Connection()\n",
"conn[\"admin\"].authenticate('admin','mediumdatarules')\n",
"db = conn['decision_making']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 103
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# ran search_sugar_mentions.py: \n",
"# collected sugar and non-sugar mentions using the search api. Results are in 'mentions.sugar' and 'mentions.nonsugar' collections."
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 104
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print 'raw mentions', db['mentions.coke'].count(), db['mentions.dietcoke'].count()\n",
"print 'unique users', len(db['mentions.coke'].distinct('user.id')), len(db['mentions.dietcoke'].distinct('user.id'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"raw mentions 319 3146\n",
"unique users "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"315 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"3116\n"
]
}
],
"prompt_number": 105
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"a = set(db['mentions.coke'].distinct('user.id'))\n",
"b = set(db['mentions.dietcoke'].distinct('user.id'))\n",
"c = set(db['user_timeline'].distinct('user.id'))\n",
"remaining_users = (a | b) - c\n",
"with open('data/rem_users3.json', 'wt') as f:\n",
" json.dump(remaining_users, f)\n",
"len(remaining_users)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 106,
"text": [
"3244"
]
}
],
"prompt_number": 106
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Ran users_timeline2mongo.py data/rem_users.json:\n",
"# collected all tweets for users in data/rem_users.json using twitter timeline api. Results for both groups are in 'user_timeline' collection."
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 154
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"db['mentions.coke'].count(), len(db['mentions.coke'].distinct('user.id'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 96,
"text": [
"(3121, 12622)"
]
}
],
"prompt_number": 96
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"a = db['mentions.coke'].distinct('user.id')\n",
"b = db['mentions.dietcoke'].distinct('user.id')\n",
"len(a), len(b), len(set(a) | set(b))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 97,
"text": [
"(12622, 3091, 15676)"
]
}
],
"prompt_number": 97
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Remove users from the mentions collection if we couldn't get their timeline"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#user2cnt = mu.count_per_key(db['user_timeline'], 'user.id', partition_queries=True)\n",
"#Above process takes too long. Replaced with the following two lines of code"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 155
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# find users with less than 2 tweets in their timeline and remove them from the mentions collection\n",
"#user2cnt_gt1 = dict([(u, cnt) for u, cnt in user2cnt.iteritems() if cnt > 1])\n",
"missing_coke_users = set([u for u in a if db['user_timeline'].find({'user.id':u}).count() < 2])\n",
"missing_dietcoke_users = set([u for u in b if db['user_timeline'].find({'user.id':u}).count() < 2])\n",
"print 'missing coke users', len(missing_coke_users), 'out of', len(a), 'users'\n",
"print 'missing diet-coke users', len(missing_dietcoke_users), 'out of', len(b), 'users'\n",
"# move mentions of users missing in the timeline collection to the bad mentions collection.\n",
"src_coll, dest_coll = db['mentions.coke'], db['mentions.coke.bad']\n",
"\n",
"for t in src_coll.find({'user.id': {'$in': list(missing_coke_users)}}):\n",
" dest_coll.insert(t)\n",
" src_coll.remove({'_id':t['_id']})\n",
"print 'coke mentions has %d docs, bad mentions has %d docs.' % (src_coll.count(), dest_coll.count())\n",
"src_coll, dest_coll = db['mentions.dietcoke'], db['mentions.dietcoke.bad']\n",
"for t in src_coll.find({'user.id': {'$in': list(missing_dietcoke_users)}}):\n",
" dest_coll.insert(t)\n",
" src_coll.remove({'_id':t['_id']})\n",
"print 'diet coke mentions has %d docs, bad mentions has %d docs.' % (src_coll.count(), dest_coll.count())\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"missing coke users 165 out of 315 users\n",
"missing diet-coke users 3080 out of 3116 users\n",
"coke mentions has 154 docs, bad mentions has 12804 docs.\n",
"diet coke mentions has 36 docs, bad mentions has 3110 docs."
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n"
]
}
],
"prompt_number": 112
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\n",
"coke_users = {}\n",
"filtered_coke = db['mentions.coke'].distinct('user.id')\n",
"for u in filtered_coke:\n",
" coke_users[u] = db['user_timeline'].find({'user.id':u}).count()\n",
"\n",
"dietcoke_users = {}\n",
"filtered_diet = db['mentions.dietcoke'].distinct('user.id')\n",
"for u in filtered_diet:\n",
" dietcoke_users[u] = db['user_timeline'].find({'user.id':u}).count()\n",
" \n",
"print 'coke users', len(coke_users), 'out of', len(a), 'users'\n",
"print 'dietcoke users', len(dietcoke_users), 'out of', len(b), 'users'\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"coke users 150 out of 315 users\n",
"dietcoke users 36 out of 3116 users\n"
]
}
],
"prompt_number": 116
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<H1>Analyze differences between groups</H1>\n",
"Compare distributions of # of tweets, # of followers/followees, time joining twitter, etc. of users "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# analyze differences between groups: # of tweets, when they joined twitter, # of followers, etc.\n",
"def get_users_stats(coll):\n",
" user2stats = {}\n",
" max_fields = ['followers_count', 'friends_count', 'statuses_count']\n",
" for tweet in coll.find():\n",
" if 'user' not in tweet or tweet['user'] is None or tweet['created_at'] is None:\n",
" continue\n",
" user = tweet['user']\n",
" user_id = user['id']\n",
" user_dict = user2stats.get(user_id, {})\n",
" user_dict['created_at'] = user['created_at']\n",
" user_dict['lang'] = user['lang']\n",
" user_dict['latest_mention_time'] = tweet['created_at'] if 'latest_mention_time' not in user_dict else max(user_dict['latest_mention_time'], tweet['created_at'])\n",
" for field in max_fields:\n",
" user_dict[field] = user[field] if field not in user_dict else max(user_dict[field], user[field])\n",
" user2stats[user_id] = user_dict\n",
" return pd.DataFrame.from_dict(user2stats, orient='index')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 117
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"coke_users_stats, dietcoke_users_stats = get_users_stats(db['mentions.coke']), get_users_stats(db['mentions.dietcoke'])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 118
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"min_len = min(len(coke_users_stats), len(dietcoke_users_stats))\n",
"coke_users_stats = coke_users_stats[:min_len]\n",
"dietcoke_users_stats = dietcoke_users_stats[:min_len]\n",
"print len(coke_users_stats)\n",
"print len(dietcoke_users_stats)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36\n",
"36\n"
]
}
],
"prompt_number": 119
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"coke_users_stats['avg_tweet_rate'] = coke_users_stats.statuses_count * float(30 * 24 * 3600) / (coke_users_stats.latest_mention_time - coke_users_stats.created_at)\n",
"dietcoke_users_stats['avg_tweet_rate'] = dietcoke_users_stats.statuses_count * float(30 * 24 * 3600) / (dietcoke_users_stats.latest_mention_time - dietcoke_users_stats.created_at)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 120
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"coke_users_stats.describe()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>created_at</th>\n",
" <th>followers_count</th>\n",
" <th>friends_count</th>\n",
" <th>latest_mention_time</th>\n",
" <th>statuses_count</th>\n",
" <th>avg_tweet_rate</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>count</strong></td>\n",
" <td> 3.600000e+01</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" <td> 3.600000e+01</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>mean</strong></td>\n",
" <td> 1.242418e+09</td>\n",
" <td> 1105.194444</td>\n",
" <td> 702.527778</td>\n",
" <td> 1.376828e+09</td>\n",
" <td> 34268.305556</td>\n",
" <td> 657.445368</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>std</strong></td>\n",
" <td> 5.641693e+06</td>\n",
" <td> 1350.028821</td>\n",
" <td> 748.646721</td>\n",
" <td> 4.012421e+08</td>\n",
" <td> 33200.089716</td>\n",
" <td> 625.198221</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>min</strong></td>\n",
" <td> 1.231733e+09</td>\n",
" <td> 28.000000</td>\n",
" <td> 32.000000</td>\n",
" <td> 1.369659e+09</td>\n",
" <td> 299.000000</td>\n",
" <td> 5.753393</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>25%</strong></td>\n",
" <td> 1.238314e+09</td>\n",
" <td> 340.500000</td>\n",
" <td> 290.750000</td>\n",
" <td> 1.372176e+09</td>\n",
" <td> 11096.250000</td>\n",
" <td> 215.462597</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>50%</strong></td>\n",
" <td> 1.241551e+09</td>\n",
" <td> 530.000000</td>\n",
" <td> 414.000000</td>\n",
" <td> 1.373633e+09</td>\n",
" <td> 22681.000000</td>\n",
" <td> 429.625514</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>75%</strong></td>\n",
" <td> 1.246110e+09</td>\n",
" <td> 1267.000000</td>\n",
" <td> 808.750000</td>\n",
" <td> 1.378867e+09</td>\n",
" <td> 47816.750000</td>\n",
" <td> 952.590622</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>max</strong></td>\n",
" <td> 1.252555e+09</td>\n",
" <td> 6237.000000</td>\n",
" <td> 3513.000000</td>\n",
" <td> 1.391771e+09</td>\n",
" <td> 158222.000000</td>\n",
" <td> 2893.685792</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 121,
"text": [
" created_at followers_count friends_count latest_mention_time statuses_count avg_tweet_rate\n",
"count 3.600000e+01 36.000000 36.000000 3.600000e+01 36.000000 36.000000\n",
"mean 1.242418e+09 1105.194444 702.527778 1.376828e+09 34268.305556 657.445368\n",
"std 5.641693e+06 1350.028821 748.646721 4.012421e+08 33200.089716 625.198221\n",
"min 1.231733e+09 28.000000 32.000000 1.369659e+09 299.000000 5.753393\n",
"25% 1.238314e+09 340.500000 290.750000 1.372176e+09 11096.250000 215.462597\n",
"50% 1.241551e+09 530.000000 414.000000 1.373633e+09 22681.000000 429.625514\n",
"75% 1.246110e+09 1267.000000 808.750000 1.378867e+09 47816.750000 952.590622\n",
"max 1.252555e+09 6237.000000 3513.000000 1.391771e+09 158222.000000 2893.685792"
]
}
],
"prompt_number": 121
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dietcoke_users_stats.describe()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>created_at</th>\n",
" <th>followers_count</th>\n",
" <th>friends_count</th>\n",
" <th>latest_mention_time</th>\n",
" <th>statuses_count</th>\n",
" <th>avg_tweet_rate</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>count</strong></td>\n",
" <td> 3.600000e+01</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" <td> 3.600000e+01</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>mean</strong></td>\n",
" <td> 1.289837e+09</td>\n",
" <td> 610.416667</td>\n",
" <td> 499.666667</td>\n",
" <td> 1.376683e+09</td>\n",
" <td> 14500.833333</td>\n",
" <td> 615.471017</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>std</strong></td>\n",
" <td> 3.656101e+08</td>\n",
" <td> 667.206559</td>\n",
" <td> 525.210869</td>\n",
" <td> 4.012403e+08</td>\n",
" <td> 19194.241494</td>\n",
" <td> 1087.773242</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>min</strong></td>\n",
" <td> 1.211546e+09</td>\n",
" <td> 40.000000</td>\n",
" <td> 27.000000</td>\n",
" <td> 1.369686e+09</td>\n",
" <td> 168.000000</td>\n",
" <td> 6.231852</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>25%</strong></td>\n",
" <td> 1.247460e+09</td>\n",
" <td> 147.000000</td>\n",
" <td> 168.000000</td>\n",
" <td> 1.372085e+09</td>\n",
" <td> 2060.250000</td>\n",
" <td> 83.160662</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>50%</strong></td>\n",
" <td> 1.289286e+09</td>\n",
" <td> 423.000000</td>\n",
" <td> 346.500000</td>\n",
" <td> 1.373905e+09</td>\n",
" <td> 8805.500000</td>\n",
" <td> 319.043939</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>75%</strong></td>\n",
" <td> 1.320585e+09</td>\n",
" <td> 665.000000</td>\n",
" <td> 460.250000</td>\n",
" <td> 1.378572e+09</td>\n",
" <td> 16737.500000</td>\n",
" <td> 539.836071</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>max</strong></td>\n",
" <td> 1.369705e+09</td>\n",
" <td> 2869.000000</td>\n",
" <td> 2033.000000</td>\n",
" <td> 1.392151e+09</td>\n",
" <td> 99814.000000</td>\n",
" <td> 4843.372530</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 122,
"text": [
" created_at followers_count friends_count latest_mention_time statuses_count avg_tweet_rate\n",
"count 3.600000e+01 36.000000 36.000000 3.600000e+01 36.000000 36.000000\n",
"mean 1.289837e+09 610.416667 499.666667 1.376683e+09 14500.833333 615.471017\n",
"std 3.656101e+08 667.206559 525.210869 4.012403e+08 19194.241494 1087.773242\n",
"min 1.211546e+09 40.000000 27.000000 1.369686e+09 168.000000 6.231852\n",
"25% 1.247460e+09 147.000000 168.000000 1.372085e+09 2060.250000 83.160662\n",
"50% 1.289286e+09 423.000000 346.500000 1.373905e+09 8805.500000 319.043939\n",
"75% 1.320585e+09 665.000000 460.250000 1.378572e+09 16737.500000 539.836071\n",
"max 1.369705e+09 2869.000000 2033.000000 1.392151e+09 99814.000000 4843.372530"
]
}
],
"prompt_number": 122
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def plot_group_boxplots(data, xlabels, ylabels, ylims=None, titles=None, filename='./results/group_dists.eps', **kwargs):\n",
" fig = plt.figure(figsize=(16,8))\n",
" n_cols = len(ylabels)\n",
" ylims = ylims if ylims is not None else [None]*n_cols\n",
" titles = titles if titles is not None else [None]*n_cols\n",
" positions = np.linspace(0, len(data[0])*0.5, len(data[0])+1)[1:]\n",
" for i in xrange(n_cols):\n",
" plt.subplot(1, n_cols, i+1)\n",
" plt.boxplot(data[i], positions=positions, widths=0.25)\n",
" if ylims[i] is not None:\n",
" plt.ylim(ylims[i])\n",
" if titles[i] is not None:\n",
" plt.title(titles[i])\n",
" #plt.xlim((0.25, 0.7))\n",
" plt.ylabel(ylabels[i]);\n",
" plt.xticks(positions,xlabels)\n",
" fig.tight_layout()\n",
" plt.savefig(filename)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 123
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data = [[coke_users_stats.statuses_count, dietcoke_users_stats.statuses_count],\n",
" [coke_users_stats.followers_count, dietcoke_users_stats.followers_count],\n",
" [coke_users_stats.friends_count, dietcoke_users_stats.friends_count],\n",
" [coke_users_stats.created_at, dietcoke_users_stats.created_at],\n",
" [coke_users_stats.avg_tweet_rate, dietcoke_users_stats.avg_tweet_rate]]\n",
"print len(coke_users_stats['created_at'])\n",
"plot_group_boxplots(data, ['coke', 'diet coke'], ['# tweets', '# followers', '# friends', 'creation (unix) time', 'avg. # tweets/month'], \n",
" titles=['Tweets', 'Followers', 'Friends', 'Account Creation Time', 'Tweeting rate (monthly avg.)'], \n",
" ylims=[(0,200000), (0,20000), (0,5000), None, (0,5000)], filename='./results/group_dists.eps')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36\n"
]
},
{
"output_type": "display_data",
"png": 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RlVdeGe4MffXVVyorK9PcuXMTGmg80ImFF1Wn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\nPyvGILzIT3Xpp1y9imZOJCfq8rPPPtPixYu1ZMkSLV++XHX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}
],
"prompt_number": 124
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# stat significance of dist\n",
"from scipy.stats import chisquare\n",
"for field, rng in zip(['statuses_count', 'followers_count', 'friends_count', 'created_at', 'avg_tweet_rate'], \n",
" [range(0, 31000, 1000), range(0, 3100, 100), range(0, 1600, 100), range(1346457600, 1392033600, 2592000), range(0, 2100, 100)]):\n",
" coke_cts, _, _ = hist(coke_users_stats[field], rng)\n",
" dietcoke_cts, _, _ = hist(dietcoke_users_stats[field], rng)\n",
" coke_cts_norm = np.array(coke_cts, dtype=float); coke_cts_norm = coke_cts_norm*np.sum(dietcoke_cts)/np.sum(coke_cts_norm)\n",
" print field, 'chi^2 score = %2.1f, 1-p_value = %1.2g' % chisquare(dietcoke_cts, coke_cts_norm)\n",
"\n",
"print coke_cts_norm\n",
"print dietcoke_cts\n",
"#Note. Nan values get generated, because of 0 values? See: http://bit.ly/1iTiJ9b"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"statuses_count chi^2 score = nan, 1-p_value = nan\n",
"followers_count"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" chi^2 score = nan, 1-p_value = nan\n",
"friends_count"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" chi^2 score = nan, 1-p_value = nan\n",
"created_at"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" chi^2 score = nan, 1-p_value = nan\n",
"avg_tweet_rate"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" chi^2 score = nan, 1-p_value = nan\n",
"[ 1.94285714 4.85714286 6.8 3.88571429 0.97142857 2.91428571\n",
" 1.94285714 1.94285714 0.97142857 0. 0. 1.94285714\n",
" 1.94285714 0.97142857 0. 0.97142857 0.97142857 0.\n",
" 0.97142857 0. ]\n",
"[ 12. 3. 2. 6. 2. 3. 1. 0. 0. 2. 1. 0. 0. 1. 1.\n",
" 0. 0. 0. 0. 0.]\n"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEACAYAAABI5zaHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n5uxMmR9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}
],
"prompt_number": 157
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import datetime\n",
"print 'median sugar user joined twitter later by:'\n",
"str(datetime.datetime.fromtimestamp(int(coke_users_stats.created_at.median()-dietcoke_users_stats.created_at.median())) - datetime.datetime.fromtimestamp(0))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"median sugar user joined twitter later by:\n"
]
},
{
"output_type": "pyout",
"prompt_number": 128,
"text": [
"'-553 days, 13:26:19'"
]
}
],
"prompt_number": 128
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Get user timeline stats"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Collect timeline start/end time, # of tweets, # of retweets, as well as other sliding window variables such as # of tweets/retweets around any user activity (tweet)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"user2timeline_start = mu.group_by_min(db['user_timeline'], 'created_at', group_by_key={'user.id':1}, \n",
" condition={'user.id': {'$in': list(db['mentions.coke'].distinct('user.id'))}})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "AttributeError",
"evalue": "'module' object has no attribute 'group_by_min'",
"output_type": "pyerr",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-129-66c7934c3618>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m user2timeline_start = mu.group_by_min(db['user_timeline'], 'created_at', group_by_key={'user.id':1}, \n\u001b[0m\u001b[0;32m 2\u001b[0m condition={'user.id': {'$in': list(db['mentions.coke'].distinct('user.id'))}})\n",
"\u001b[1;31mAttributeError\u001b[0m: 'module' object has no attribute 'group_by_min'"
]
}
],
"prompt_number": 129
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.core.display import clear_output\n",
"def get_user_timeline_stats(mentions_coll, timeline_coll, window_start=-5*60, window_end=15*60):\n",
" '''\n",
" compute user stats from the collected timeline data like: timeline start/end time, # of tweets, # of retweets, as well as other sliding window stats.\n",
" window_start, window_end - determine the range of the time window around each tweet.\n",
" '''\n",
" user2stats = {}\n",
" user_ids = mentions_coll.distinct('user.id')\n",
" bucket_duration = window_end-window_start\n",
" for user_i, user_id in enumerate(user_ids):\n",
" if user_id is None:\n",
" continue\n",
" user_dict = user2stats.get(user_id, {'timeline_start':np.inf, 'timeline_end':-np.inf, 'timeline_tweets':0, 'timeline_rts':0})\n",
" bucket2tweets, bucket2rts = {}, {}\n",
" window_tweets, window_rts = [], [] \n",
"\n",
" query = {'user.id':user_id, 'created_at':{'$exists':True}}\n",
" tweets = list(timeline_coll.find(query, fields=['user.id', 'created_at', 'retweeted_status']).sort('created_at'))\n",
" start_idx, end_idx = 0,0\n",
" for i, tweet in enumerate(tweets):\n",
" user_dict['timeline_tweets'] += 1\n",
" if 'retweeted_status' in tweet:\n",
" user_dict['timeline_rts'] += 1\n",
" if tweet['created_at'] < user_dict['timeline_start']:\n",
" user_dict['timeline_start'] = tweet['created_at']\n",
" if tweet['created_at'] > user_dict['timeline_end']:\n",
" user_dict['timeline_end'] = tweet['created_at']\n",
" # time bucket counting\n",
" bucket_time = tweet['created_at'] / bucket_duration * bucket_duration\n",
" bucket2tweets[bucket_time] = bucket2tweets.get(bucket_time, 0) + 1\n",
" rt_cts = bucket2rts.get(bucket_time, 0)\n",
" if 'retweeted_status' in tweet:\n",
" rt_cts += 1\n",
" bucket2rts[bucket_time] = rt_cts\n",
" # advance window indices\n",
" while tweets[start_idx]['created_at'] < tweet['created_at']+window_start:\n",
" start_idx += 1\n",
" while tweets[end_idx]['created_at'] < tweet['created_at']+window_end:\n",
" if end_idx == (len(tweets)-1):\n",
" break \n",
" if tweets[end_idx+1]['created_at'] > tweet['created_at']+window_end:\n",
" break\n",
" end_idx += 1\n",
" w_tweet_cnt, w_rt_cnt = 0,0\n",
" for j in xrange(start_idx, end_idx+1):\n",
" if j==i:\n",
" continue\n",
" w_tweet_cnt += 1\n",
" if 'retweeted_status' in tweets[j]:\n",
" w_rt_cnt += 1\n",
" window_tweets.append(w_tweet_cnt)\n",
" window_rts.append(w_rt_cnt)\n",
" user_dict['window_tweets_mean'], user_dict['window_tweets_std'] = np.mean(window_tweets), np.std(window_tweets)\n",
" user_dict['window_rts_mean'], user_dict['window_rts_std'] = np.mean(window_rts), np.std(window_rts)\n",
" user_dict['window_rts'] = pd.Series(Counter(window_rts))\n",
" user_dict['bucket_tweets_mean'], user_dict['bucket_tweets_std'] = np.mean(bucket2tweets.values()), np.std(bucket2tweets.values())\n",
" user_dict['bucket_rts_mean'], user_dict['bucket_rts_std'] = np.mean(bucket2rts.values()), np.std(bucket2rts.values())\n",
" user_dict['bucket_rts'] = pd.Series(Counter(bucket2rts.values()))\n",
" user2stats[user_id] = user_dict\n",
" if user_i % 10 == 0:\n",
" clear_output()\n",
" print \"Processed %d/%d users\" % (user_i, len(user_ids))\n",
" sys.stdout.flush()\n",
" return pd.DataFrame.from_dict(user2stats, orient='index')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 137
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"coke_timeline_stats = get_user_timeline_stats(db['mentions.coke'], db['user_timeline'])\n",
"coke_timeline_stats.save('./data/coke_timeline_stats5.df')\n",
"dietcoke_timeline_stats = get_user_timeline_stats(db['mentions.dietcoke'], db['user_timeline'])\n",
"dietcoke_timeline_stats.save('./data/dietcoke_timeline_stats2.df')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Processed 30/36 users\n"
]
}
],
"prompt_number": 138
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# compute tweeting/RTing average rates\n",
"def add_avgs(df):\n",
" df['timeline_duration'] = df['timeline_end']-df['timeline_start']\n",
" df['timeline_rt_speed'] = df['timeline_rts'] * float(20*60) / (df['timeline_duration'])\n",
" df['timeline_tweet_speed'] = df['timeline_tweets'] * float(20*60) / (df['timeline_duration'])\n",
" return df\n",
"\n",
"coke_timeline_stats = add_avgs(coke_timeline_stats)\n",
"dietcoke_timeline_stats = add_avgs(dietcoke_timeline_stats)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 140
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"coke_timeline_stats.describe()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>bucket_rts_mean</th>\n",
" <th>bucket_rts_std</th>\n",
" <th>bucket_tweets_mean</th>\n",
" <th>bucket_tweets_std</th>\n",
" <th>timeline_end</th>\n",
" <th>timeline_rts</th>\n",
" <th>timeline_start</th>\n",
" <th>timeline_tweets</th>\n",
" <th>window_rts_mean</th>\n",
" <th>window_rts_std</th>\n",
" <th>window_tweets_mean</th>\n",
" <th>window_tweets_std</th>\n",
" <th>timeline_duration</th>\n",
" <th>timeline_rt_speed</th>\n",
" <th>timeline_tweet_speed</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>count</strong></td>\n",
" <td> 150.000000</td>\n",
" <td> 150.000000</td>\n",
" <td> 150.000000</td>\n",
" <td> 150.000000</td>\n",
" <td> 1.500000e+02</td>\n",
" <td> 150.000000</td>\n",
" <td> 1.500000e+02</td>\n",
" <td> 150.000000</td>\n",
" <td> 150.000000</td>\n",
" <td> 150.000000</td>\n",
" <td> 150.000000</td>\n",
" <td> 150.000000</td>\n",
" <td> 1.500000e+02</td>\n",
" <td> 150.000000</td>\n",
" <td> 150.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>mean</strong></td>\n",
" <td> 0.512557</td>\n",
" <td> 0.933594</td>\n",
" <td> 2.860067</td>\n",
" <td> 2.578415</td>\n",
" <td> 1.374303e+09</td>\n",
" <td> 629.233333</td>\n",
" <td> 1.351243e+09</td>\n",
" <td> 3391.513333</td>\n",
" <td> 0.863829</td>\n",
" <td> 1.525143</td>\n",
" <td> 4.375550</td>\n",
" <td> 4.231738</td>\n",
" <td> 2.306066e+07</td>\n",
" <td> 0.095099</td>\n",
" <td> 0.558573</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>std</strong></td>\n",
" <td> 0.589626</td>\n",
" <td> 0.833842</td>\n",
" <td> 1.939343</td>\n",
" <td> 2.198478</td>\n",
" <td> 2.113025e+08</td>\n",
" <td> 740.480765</td>\n",
" <td> 1.354353e+08</td>\n",
" <td> 2096.477758</td>\n",
" <td> 1.226613</td>\n",
" <td> 2.007868</td>\n",
" <td> 4.445681</td>\n",
" <td> 3.649720</td>\n",
" <td> 3.832634e+07</td>\n",
" <td> 0.195576</td>\n",
" <td> 0.791013</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>min</strong></td>\n",
" <td> 0.000000</td>\n",
" <td> 0.000000</td>\n",
" <td> 1.083333</td>\n",
" <td> 0.343592</td>\n",
" <td> 1.366230e+09</td>\n",
" <td> 0.000000</td>\n",
" <td> 1.233001e+09</td>\n",
" <td> 17.000000</td>\n",
" <td> 0.000000</td>\n",
" <td> 0.000000</td>\n",
" <td> 0.115385</td>\n",
" <td> 0.374877</td>\n",
" <td> 8.265890e+05</td>\n",
" <td> 0.000000</td>\n",
" <td> 0.002558</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>25%</strong></td>\n",
" <td> 0.201155</td>\n",
" <td> 0.468371</td>\n",
" <td> 1.698643</td>\n",
" <td> 1.318185</td>\n",
" <td> 1.366781e+09</td>\n",
" <td> 185.250000</td>\n",
" <td> 1.347054e+09</td>\n",
" <td> 2838.750000</td>\n",
" <td> 0.161516</td>\n",
" <td> 0.460702</td>\n",
" <td> 1.805510</td>\n",
" <td> 2.110956</td>\n",
" <td> 6.985272e+06</td>\n",
" <td> 0.010435</td>\n",
" <td> 0.093910</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>50%</strong></td>\n",
" <td> 0.360820</td>\n",
" <td> 0.678726</td>\n",
" <td> 2.140411</td>\n",
" <td> 1.752147</td>\n",
" <td> 1.372125e+09</td>\n",
" <td> 461.500000</td>\n",
" <td> 1.358581e+09</td>\n",
" <td> 3248.000000</td>\n",
" <td> 0.420271</td>\n",
" <td> 0.876595</td>\n",
" <td> 2.704631</td>\n",
" <td> 2.986874</td>\n",
" <td> 1.524421e+07</td>\n",
" <td> 0.035571</td>\n",
" <td> 0.255413</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>75%</strong></td>\n",
" <td> 0.584213</td>\n",
" <td> 1.035005</td>\n",
" <td> 3.461373</td>\n",
" <td> 3.419642</td>\n",
" <td> 1.377568e+09</td>\n",
" <td> 840.500000</td>\n",
" <td> 1.364514e+09</td>\n",
" <td> 3718.500000</td>\n",
" <td> 1.007803</td>\n",
" <td> 1.673081</td>\n",
" <td> 6.103544</td>\n",
" <td> 5.155595</td>\n",
" <td> 2.674546e+07</td>\n",
" <td> 0.101249</td>\n",
" <td> 0.657937</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>max</strong></td>\n",
" <td> 5.357143</td>\n",
" <td> 5.195701</td>\n",
" <td> 15.545455</td>\n",
" <td> 16.424369</td>\n",
" <td> 1.392085e+09</td>\n",
" <td> 6547.000000</td>\n",
" <td> 1.382555e+09</td>\n",
" <td> 13090.000000</td>\n",
" <td> 8.581835</td>\n",
" <td> 14.184816</td>\n",
" <td> 31.654663</td>\n",
" <td> 25.276858</td>\n",
" <td> 1.421241e+08</td>\n",
" <td> 1.867228</td>\n",
" <td> 4.716733</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 141,
"text": [
" bucket_rts_mean bucket_rts_std bucket_tweets_mean bucket_tweets_std timeline_end timeline_rts timeline_start timeline_tweets window_rts_mean window_rts_std window_tweets_mean window_tweets_std timeline_duration timeline_rt_speed timeline_tweet_speed\n",
"count 150.000000 150.000000 150.000000 150.000000 1.500000e+02 150.000000 1.500000e+02 150.000000 150.000000 150.000000 150.000000 150.000000 1.500000e+02 150.000000 150.000000\n",
"mean 0.512557 0.933594 2.860067 2.578415 1.374303e+09 629.233333 1.351243e+09 3391.513333 0.863829 1.525143 4.375550 4.231738 2.306066e+07 0.095099 0.558573\n",
"std 0.589626 0.833842 1.939343 2.198478 2.113025e+08 740.480765 1.354353e+08 2096.477758 1.226613 2.007868 4.445681 3.649720 3.832634e+07 0.195576 0.791013\n",
"min 0.000000 0.000000 1.083333 0.343592 1.366230e+09 0.000000 1.233001e+09 17.000000 0.000000 0.000000 0.115385 0.374877 8.265890e+05 0.000000 0.002558\n",
"25% 0.201155 0.468371 1.698643 1.318185 1.366781e+09 185.250000 1.347054e+09 2838.750000 0.161516 0.460702 1.805510 2.110956 6.985272e+06 0.010435 0.093910\n",
"50% 0.360820 0.678726 2.140411 1.752147 1.372125e+09 461.500000 1.358581e+09 3248.000000 0.420271 0.876595 2.704631 2.986874 1.524421e+07 0.035571 0.255413\n",
"75% 0.584213 1.035005 3.461373 3.419642 1.377568e+09 840.500000 1.364514e+09 3718.500000 1.007803 1.673081 6.103544 5.155595 2.674546e+07 0.101249 0.657937\n",
"max 5.357143 5.195701 15.545455 16.424369 1.392085e+09 6547.000000 1.382555e+09 13090.000000 8.581835 14.184816 31.654663 25.276858 1.421241e+08 1.867228 4.716733"
]
}
],
"prompt_number": 141
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dietcoke_timeline_stats.describe()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>bucket_rts_mean</th>\n",
" <th>bucket_rts_std</th>\n",
" <th>bucket_tweets_mean</th>\n",
" <th>bucket_tweets_std</th>\n",
" <th>timeline_end</th>\n",
" <th>timeline_rts</th>\n",
" <th>timeline_start</th>\n",
" <th>timeline_tweets</th>\n",
" <th>window_rts_mean</th>\n",
" <th>window_rts_std</th>\n",
" <th>window_tweets_mean</th>\n",
" <th>window_tweets_std</th>\n",
" <th>timeline_duration</th>\n",
" <th>timeline_rt_speed</th>\n",
" <th>timeline_tweet_speed</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>count</strong></td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" <td> 3.600000e+01</td>\n",
" <td> 36.000000</td>\n",
" <td> 3.600000e+01</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" <td> 3.600000e+01</td>\n",
" <td> 36.000000</td>\n",
" <td> 36.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>mean</strong></td>\n",
" <td> 0.475428</td>\n",
" <td> 0.808013</td>\n",
" <td> 2.445766</td>\n",
" <td> 1.956788</td>\n",
" <td> 1.373518e+09</td>\n",
" <td> 603.138889</td>\n",
" <td> 1.336340e+09</td>\n",
" <td> 3166.527778</td>\n",
" <td> 0.672995</td>\n",
" <td> 1.083381</td>\n",
" <td> 3.142065</td>\n",
" <td> 3.107923</td>\n",
" <td> 3.717818e+07</td>\n",
" <td> 0.119190</td>\n",
" <td> 0.512552</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>std</strong></td>\n",
" <td> 0.543411</td>\n",
" <td> 0.703305</td>\n",
" <td> 1.698505</td>\n",
" <td> 1.685207</td>\n",
" <td> 4.012073e+08</td>\n",
" <td> 661.236770</td>\n",
" <td> 5.004896e+08</td>\n",
" <td> 1823.769385</td>\n",
" <td> 1.012092</td>\n",
" <td> 1.249906</td>\n",
" <td> 3.343417</td>\n",
" <td> 2.411063</td>\n",
" <td> 4.100419e+07</td>\n",
" <td> 0.294926</td>\n",
" <td> 0.859248</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>min</strong></td>\n",
" <td> 0.000000</td>\n",
" <td> 0.000000</td>\n",
" <td> 1.060606</td>\n",
" <td> 0.274071</td>\n",
" <td> 1.366213e+09</td>\n",
" <td> 0.000000</td>\n",
" <td> 1.238975e+09</td>\n",
" <td> 254.000000</td>\n",
" <td> 0.000000</td>\n",
" <td> 0.000000</td>\n",
" <td> 0.167143</td>\n",
" <td> 0.520226</td>\n",
" <td> 9.735650e+05</td>\n",
" <td> 0.000000</td>\n",
" <td> 0.005155</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>25%</strong></td>\n",
" <td> 0.136733</td>\n",
" <td> 0.382861</td>\n",
" <td> 1.440274</td>\n",
" <td> 0.881885</td>\n",
" <td> 1.366683e+09</td>\n",
" <td> 179.250000</td>\n",
" <td> 1.324421e+09</td>\n",
" <td> 2130.250000</td>\n",
" <td> 0.076070</td>\n",
" <td> 0.294763</td>\n",
" <td> 1.016178</td>\n",
" <td> 1.369771</td>\n",
" <td> 9.525678e+06</td>\n",
" <td> 0.005369</td>\n",
" <td> 0.044463</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>50%</strong></td>\n",
" <td> 0.341257</td>\n",
" <td> 0.589138</td>\n",
" <td> 1.826785</td>\n",
" <td> 1.356137</td>\n",
" <td> 1.372040e+09</td>\n",
" <td> 555.500000</td>\n",
" <td> 1.352489e+09</td>\n",
" <td> 3214.000000</td>\n",
" <td> 0.271878</td>\n",
" <td> 0.608675</td>\n",
" <td> 1.894027</td>\n",
" <td> 2.548042</td>\n",
" <td> 2.076496e+07</td>\n",
" <td> 0.037457</td>\n",
" <td> 0.235985</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>75%</strong></td>\n",
" <td> 0.582462</td>\n",
" <td> 0.889528</td>\n",
" <td> 2.785341</td>\n",
" <td> 2.530492</td>\n",
" <td> 1.375898e+09</td>\n",
" <td> 762.500000</td>\n",
" <td> 1.364225e+09</td>\n",
" <td> 3431.750000</td>\n",
" <td> 0.776608</td>\n",
" <td> 1.280615</td>\n",
" <td> 4.219778</td>\n",
" <td> 3.932347</td>\n",
" <td> 5.328731e+07</td>\n",
" <td> 0.071015</td>\n",
" <td> 0.549736</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>max</strong></td>\n",
" <td> 2.827801</td>\n",
" <td> 3.038039</td>\n",
" <td> 9.076056</td>\n",
" <td> 8.236461</td>\n",
" <td> 1.392085e+09</td>\n",
" <td> 3739.000000</td>\n",
" <td> 1.379058e+09</td>\n",
" <td> 9510.000000</td>\n",
" <td> 4.892526</td>\n",
" <td> 5.058542</td>\n",
" <td> 15.853818</td>\n",
" <td> 11.188417</td>\n",
" <td> 1.366642e+08</td>\n",
" <td> 1.680011</td>\n",
" <td> 3.991105</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 142,
"text": [
" bucket_rts_mean bucket_rts_std bucket_tweets_mean bucket_tweets_std timeline_end timeline_rts timeline_start timeline_tweets window_rts_mean window_rts_std window_tweets_mean window_tweets_std timeline_duration timeline_rt_speed timeline_tweet_speed\n",
"count 36.000000 36.000000 36.000000 36.000000 3.600000e+01 36.000000 3.600000e+01 36.000000 36.000000 36.000000 36.000000 36.000000 3.600000e+01 36.000000 36.000000\n",
"mean 0.475428 0.808013 2.445766 1.956788 1.373518e+09 603.138889 1.336340e+09 3166.527778 0.672995 1.083381 3.142065 3.107923 3.717818e+07 0.119190 0.512552\n",
"std 0.543411 0.703305 1.698505 1.685207 4.012073e+08 661.236770 5.004896e+08 1823.769385 1.012092 1.249906 3.343417 2.411063 4.100419e+07 0.294926 0.859248\n",
"min 0.000000 0.000000 1.060606 0.274071 1.366213e+09 0.000000 1.238975e+09 254.000000 0.000000 0.000000 0.167143 0.520226 9.735650e+05 0.000000 0.005155\n",
"25% 0.136733 0.382861 1.440274 0.881885 1.366683e+09 179.250000 1.324421e+09 2130.250000 0.076070 0.294763 1.016178 1.369771 9.525678e+06 0.005369 0.044463\n",
"50% 0.341257 0.589138 1.826785 1.356137 1.372040e+09 555.500000 1.352489e+09 3214.000000 0.271878 0.608675 1.894027 2.548042 2.076496e+07 0.037457 0.235985\n",
"75% 0.582462 0.889528 2.785341 2.530492 1.375898e+09 762.500000 1.364225e+09 3431.750000 0.776608 1.280615 4.219778 3.932347 5.328731e+07 0.071015 0.549736\n",
"max 2.827801 3.038039 9.076056 8.236461 1.392085e+09 3739.000000 1.379058e+09 9510.000000 4.892526 5.058542 15.853818 11.188417 1.366642e+08 1.680011 3.991105"
]
}
],
"prompt_number": 142
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<H1>Retweets Analysis from MongoDB</H1>"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pymongo\n",
"c = pymongo.Connection()\n",
"db = c['decision_making']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def get_mention_aligned_ts(mentions_coll, timeline_coll, retweets_only, bucket_duration = 300, time_span = 10800):\n",
" '''\n",
" aggregate user time-series w.r.t mention time.\n",
" bucket_duration = 300secs = 5mins bins size.\n",
" time_span = 10800secs = 3hours of time between activity and user mention.\n",
" '''\n",
" mention_aligned_ts = {}\n",
" for mention_t in mentions_coll.find():\n",
" query = {'$and': [{'user.id':mention_t['user']['id']}, {'_id':{'$ne':mention_t['_id']}}, \\\n",
" {'created_at':{'$gte':mention_t['created_at']-time_span}}, {'created_at':{'$lte':mention_t['created_at']+time_span-1}}]}\n",
" if retweets_only:\n",
" query['$and'].append({'retweeted_status':{'$exists':True}})\n",
" for tweet in timeline_coll.find(query):\n",
" t_aligned = (tweet['created_at'] - mention_t['created_at']) / bucket_duration * bucket_duration\n",
" mention_aligned_ts[t_aligned] = 1 + mention_aligned_ts.get(t_aligned, 0)\n",
" return zip(*(sorted(mention_aligned_ts.iteritems(), key=lambda x:x[0])))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 143
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"t1, cts1 = get_mention_aligned_ts(db['mentions.coke'], db['user_timeline'], retweets_only=True, bucket_duration=300, time_span=10800)\n",
"t2, cts2 = get_mention_aligned_ts(db['mentions.dietcoke'], db['user_timeline'], retweets_only=True, bucket_duration=300, time_span=10800)\n",
"with open('data/rts_around_coke.json', 'wt') as f:\n",
" json.dump(zip(t1,cts1), f)\n",
"with open('data/rts_around_dietcoke.json', 'wt') as f:\n",
" json.dump(zip(t2,cts2), f)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 158
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cts1_norm = np.array(cts1, dtype=float); cts1_norm = cts1_norm/np.sum(cts1_norm)\n",
"cts2_norm = np.array(cts2, dtype=float); cts2_norm = cts2_norm/np.sum(cts2_norm)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 165
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ts, cts = [t1,t2], [cts1_norm,cts2_norm]\n",
"bucket_duration, time_span = 300, 10800\n",
"x_ticks = np.array(range(-time_span,time_span+bucket_duration*4, bucket_duration*4))\n",
"ts_names = ['just had <coke>', 'just had <diet coke>']\n",
"markers = ['b--.', '-r.']\n",
"tsplot.plot_timeseries(ts, cts, format_time_func=tsplot.format_hour_min_delta, x_ticks=x_ticks, ts_names = ts_names, plot_title = 'Retweets around mention', y_label = 'counts / volume', markers = markers, filename='./results/rts_around_sugar.eps', lw=3, markersize=12)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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VFdnZeZeoBkqAnhYAAMAdUlOlDh3s8TXXSD/8kHffokVSfLw97tVL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\nXUquWDEnMAUAAAAASUVORK5CYII=\n"
}
],
"prompt_number": 166
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def get_user_mention_stats(mentions_coll, timeline_coll, window_start=-5*60, window_end=15*60):\n",
" '''\n",
" count tweets and retweets in a window around mention time and calculate weekly, daily means and stds.\n",
" '''\n",
" user_mention_stats = {}\n",
" mentions = list(mentions_coll.find(fields=['user.id', 'created_at', '_id']))\n",
" for mention_t in mentions:\n",
" user_id = mention_t['user']['id']\n",
" created_at = mention_t['created_at']\n",
" query = {'$and': [{'user.id':user_id}, {'_id':{'$ne':mention_t['_id']}}, \\\n",
" {'created_at':{'$gte':created_at+window_start}}, {'created_at':{'$lt':created_at+window_end}}]}\n",
" tweet_count = int(timeline_coll.find(query).count())\n",
" query['$and'].append({'retweeted_status':{'$exists':True}})\n",
" rt_count = int(timeline_coll.find(query).count())\n",
" # weekly and daily stats\n",
" week2tweets, week2rts, day2tweets, day2rts = {}, {}, {}, {}\n",
" bucket_duration = window_end - window_start\n",
" query = {'user.id':user_id, 'created_at':{'$exists':True}, '_id':{'$ne':mention_t['_id']}}\n",
" for tweet in timeline_coll.find(query, fields=['created_at', 'retweeted_status']).sort('created_at'):\n",
" t_aligned = (tweet['created_at']-created_at) / bucket_duration * bucket_duration\n",
" if t_aligned % 604800 == 0: # weekly\n",
" week = t_aligned / 604800\n",
" if week != 0:\n",
" week2tweets[week] = week2tweets.get(week, 0)+1\n",
" rt_cts = week2rts.get(week, 0)\n",
" if 'retweeted_status' in tweet:\n",
" rt_cts += 1\n",
" week2rts[week] = rt_cts\n",
" if t_aligned % 86400 == 0: # daily\n",
" day = t_aligned / 86400\n",
" if day != 0:\n",
" day2tweets[day] = day2tweets.get(day, 0)+1\n",
" rt_cts = day2rts.get(day, 0)\n",
" if 'retweeted_status' in tweet:\n",
" rt_cts += 1\n",
" day2rts[day] = rt_cts\n",
" \n",
" user_dict = {'user_id':user_id, 'mention_time':created_at, 'mention_window_tweets': tweet_count, 'mention_window_rts': rt_count}\n",
" user_dict['prev_weeks_tweets_mean'] = np.mean(week2tweets.values()) if len(week2tweets) > 0 else np.nan\n",
" user_dict['prev_weeks_tweets_std'] = np.std(week2tweets.values()) if len(week2tweets) > 0 else np.nan\n",
" user_dict['prev_weeks_rts_mean'] = np.mean(week2rts.values()) if len(week2rts) > 0 else np.nan\n",
" user_dict['prev_weeks_rts_std'] = np.std(week2rts.values()) if len(week2rts) > 0 else np.nan\n",
" user_dict['prev_weeks_rts'] = pd.Series(Counter(week2rts.values())) if len(week2rts) > 0 else np.nan\n",
" user_dict['prev_days_tweets_mean'] = np.mean(day2tweets.values()) if len(day2tweets) > 0 else np.nan\n",
" user_dict['prev_days_tweets_std'] = np.std(day2tweets.values()) if len(day2tweets) > 0 else np.nan\n",
" user_dict['prev_days_rts_mean'] = np.mean(day2rts.values()) if len(day2rts) > 0 else np.nan\n",
" user_dict['prev_days_rts_std'] = np.std(day2rts.values()) if len(day2rts) > 0 else np.nan\n",
" user_dict['prev_days_rts'] = pd.Series(Counter(day2rts.values())) if len(day2rts) > 0 else np.nan\n",
" user_mention_stats[(user_id, created_at)] = user_dict\n",
" return pd.DataFrame.from_dict(user_mention_stats, orient='index')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 167
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"coke_mention_stats = get_user_mention_stats(db['mentions.coke'], db['user_timeline'])\n",
"coke_mention_stats.save('./data/coke_mention_stats2.df')\n",
"dietcoke_mention_stats = get_user_mention_stats(db['mentions.dietcoke'], db['user_timeline'])\n",
"dietcoke_mention_stats.save('./data/dietcoke_mention_stats2.df')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 168
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"coke_mention_stats = coke_mention_stats.merge(coke_timeline_stats, left_on='user_id', right_index=True, how='left')\n",
"dietcoke_mention_stats = dietcoke_mention_stats.merge(dietcoke_timeline_stats, left_on='user_id', right_index=True, how='left')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 169
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def add_zscore_stats(df):\n",
" df['rt_speed_to_timeline_avg'] = df['mention_window_rts'].astype(float) / df['timeline_rt_speed']\n",
" df['bucket_rts_zscore'] = (df['mention_window_rts'].astype(float) - df['bucket_rts_mean'])/df['bucket_rts_std']\n",
" df['window_rts_zscore'] = (df['mention_window_rts'].astype(float) - df['window_rts_mean'])/df['window_rts_std']\n",
" df['weekly_rts_zscore'] = (df['mention_window_rts'].astype(float) - df['prev_weeks_rts_mean'])/df['prev_weeks_rts_std']\n",
" df['daily_rts_zscore'] = (df['mention_window_rts'].astype(float) - df['prev_days_rts_mean'])/df['prev_days_rts_std'] \n",
" df['tweet_speed_to_timeline_avg'] = df['mention_window_tweets'].astype(float) / df['timeline_tweet_speed']\n",
" df['bucket_tweets_zscore'] = (df['mention_window_tweets'].astype(float) - df['bucket_tweets_mean'])/df['bucket_tweets_std']\n",
" df['window_tweets_zscore'] = (df['mention_window_tweets'].astype(float) - df['window_tweets_mean'])/df['window_tweets_std']\n",
" df['weekly_tweets_zscore'] = (df['mention_window_tweets'].astype(float) - df['prev_weeks_tweets_mean'])/df['prev_weeks_tweets_std']\n",
" df['daily_tweets_zscore'] = (df['mention_window_tweets'].astype(float) - df['prev_days_tweets_mean'])/df['prev_days_tweets_std']\n",
" return df\n",
"\n",
"coke_mention_stats = add_zscore_stats(coke_mention_stats)\n",
"dietcoke_mention_stats = add_zscore_stats(dietcoke_mention_stats)\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 170
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# RTs\n",
"data = [[coke_mention_stats[field], dietcoke_mention_stats[field]] for field in \n",
" ['rt_speed_to_timeline_avg', 'bucket_rts_zscore', 'window_rts_zscore', 'weekly_rts_zscore', 'daily_rts_zscore']]\n",
"plot_group_boxplots(data, ['coke', 'diet-coke'], ['RT speed / avg. speed', 'z-score', 'z-score', 'z-score', 'z-score'], \n",
" titles=['RT speed ratio', 'RTs deviation (bucket)', 'RTs deviation (sliding)', 'RTs deviation (weekly)', 'RTs deviation (daily)'], \n",
" ylims=[(0,5000), (-5,5), (-2,2), None, (-5,5)], filename='./results/groups_rt_dists.eps')\n",
"# Tweets\n",
"data = [[coke_mention_stats[field], dietcoke_mention_stats[field]] for field in \n",
" ['tweet_speed_to_timeline_avg', 'bucket_tweets_zscore', 'window_tweets_zscore', 'weekly_tweets_zscore', 'daily_tweets_zscore']]\n",
"plot_group_boxplots(data, ['sugar', 'non-sugar'], ['Tweeting speed / avg. speed', 'z-score', 'z-score', 'z-score', 'z-score'], \n",
" titles=['Tweeting speed ratio', 'Tweets deviation (bucket)', 'Tweets deviation (sliding)', 'Tweets deviation (weekly)', 'Tweets deviation (daily)'], \n",
" ylims=[(0,5000), (-5,5), (-3,3), None, (-8,8)], filename='./results/groups_tweet_dists.eps')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
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cqJtuuqlED56Tk6PWrVvrggsu0COPPKKoqCitX79ezZs3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\nwlJtW8qK5HF2rUN+RpMHCD5LtW0pK+CFpdq2lBXJ44/LYLOUNR5NHm+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}
],
"prompt_number": 171
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Naive Twitter Retweets Analysis"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"Data collected as follows:\n",
"Firehose 2012-08-27 - 2013-03-05 => city_tweets_by_hometown.FilterCityTweetsByHomwtown => city_tweets_by_hometown.BinCityRTsByLocation => BinCityRTsByLocation@552:8763f:2e423 => ./data/TwitterRTsByCityOverTime.json"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = open('./data/TwitterRTsByCityOverTime.json', 'rt')\n",
"RTs = dict(json.load(f))\n",
"f.close()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 166
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# get data into DateFrame in local time\n",
"import timeseries_analysis as tsa\n",
"import pytz\n",
"cities, aligned_ts = [],[]\n",
"for city, ts in RTs.iteritems():\n",
" city_timezone = tsa.get_city_timezone(city)\n",
" unixtime2localtime = lambda t: datetime.datetime.fromtimestamp(t, tz=pytz.utc).astimezone(city_timezone).replace(tzinfo=None)\n",
" t, cts = zip(*ts)\n",
" cities.append(city)\n",
" aligned_ts.append( pd.Series(dict(zip(map(unixtime2localtime,t), cts))) )\n",
"df = pd.DataFrame(data={'city':cities, 'ts':aligned_ts})\n",
"df = df.set_index('city')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 167
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# aggregate all cities and fold\n",
"RTs, RTs_norm = {}, {}\n",
"aligned_ts = pd.concat(df['ts'].values, axis=1).sum(axis=1)\n",
"RTs['aligned_ts'] = aligned_ts\n",
"RTs_norm['aligned_ts'] = aligned_ts / aligned_ts.sum()\n",
"for trans, fold_func in tsa.folding.iteritems():\n",
" folded_ts = aligned_ts.groupby(fold_func).agg({'mean':np.mean, 'std':lambda x: np.std(x[:])})\n",
" RTs[trans] = folded_ts\n",
" RTs_norm[trans] = folded_ts / folded_ts['mean'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 199
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import timeseries_plotting as tsplot\n",
"#reload(tsplot)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# plot weekly patterns\n",
"dow_offset_2mon = (8 - datetime.datetime.fromtimestamp(0, tz=pytz.utc).isoweekday())*24*3600 \n",
"week_x_ticks = np.array(range(0,86400*8, 86400))+dow_offset_2mon\n",
"ts, cts, cts_err = tsplot.timeseries_dataframe2ts([RTs['1w']])\n",
"markers = ['-']\n",
"tsplot.plot_timeseries(ts, cts, format_time_func=tsplot.format_dow, x_ticks=week_x_ticks, is_circular=True, plot_title = 'Retweets (Weekly)', y_label = 'counts', markers = markers, filename='./results/rts_weekly.eps', lw=2.5, markersize=4)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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G49FrIgPRlGkiI12zT0Tbli3Ox1kpCW4sX55ZEgwAgFyIxaSSEmt/yhRr257I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4R5ZFBpCZEuYR4ZNp6Ocnj3pGbNqKVmfeFzhwsZNglgJGTknng8bnUmGM+opdKk7BPmkWHzc4sL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\nuAAAAABJRU5ErkJggg==\n"
}
],
"prompt_number": 201
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ts, cts, cts_err = tsplot.timeseries_dataframe2ts([RTs['sun2thu']])\n",
"day_x_ticks = np.array(range(0,25*3600, 3*3600))\n",
"markers = ['-']\n",
"tsplot.plot_timeseries(ts, cts, format_time_func=tsplot.format_hour_min, x_ticks=day_x_ticks, is_circular=True, plot_title = 'Retweets (Weekdays)', y_label = 'counts', markers = markers, filename='./results/rts_wkdays.eps', lw=2.5, markersize=4)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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//BC2bN2yBS6/HB57LN4zyh+ZmaGHSEZGKOh8/33YEjYZ2TxU2gHXZEaTuUeP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}
],
"prompt_number": 202
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Retweets Analysis w.r.t break mentions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Data collected as follows:\n",
"\n",
"1. Firehose 2012-08-27 - 2013-03-11 => city_tweets_by_hometown.FilterCityTweetsByHomwtown => disco_jobs.UserMentionTimes => UserMentionTimes@553:1a038:1fbdc => ./data/UserMentionTimes.json. Result is a list of pairs of (user_id, [created_at]) where users mentioned 'cupcake' in their tweets (excluding retweets). Mentions within 3 hours of one another were excluded.\n",
"2. Firehose 2012-08-27 - 2013-03-11 => city_tweets_by_hometown.FilterCityTweetsByHomwtown => disco_jobs.TweetsAroundUserMention => TweetsAroundUserMention@553:1c6ab:650f0. Result is a mapping of user_id and mention time (concatenated with space as string) to a list of tweet jsons. So for every user mention we have all tweets within +/- 3 hours from the mention. A single tweet may be included in multiple mentions if it was created within 3 hours from them. \n",
"\n",
"Another dataset:\n",
"\n",
"1. Firehose 2013-02-26 - 2013-03-13 => disco_jobs.UserMentionTimes => UserMentionTimes@553:33315:ba0a0 => ./data/UserMentionTimes@553:33315:ba0a0.json. Result is a list of pairs of (user_id, [created_at]) where users mentioned cupcake words (see below) in their tweets (excluding retweets). Mentions within 3 hours of one another were excluded. The patterns was: \n",
"\n",
" re.compile('just\\shad.*?(\\#|\\W)(cupcake|cupcakes|cake|choclate|choclates|twix|donut|donuts|icecream|ice\\-cream|milkshake|milkshakes|muffin|muffins|doughnut|doughnuts|cuppies|clafoutis|poundcake|fudge|tartlets|cheesecake|streusel)($|\\W)', re.UNICODE | re.I)\n",
"\n",
"2. Firehose 2013-02-26 - 2013-03-13 => disco_jobs.BinUserRTs (for users in UserMentionTimes@553:33315:ba0a0 with 5 mins bins) => BinUserRTs@553:4336d:30e70 => ./data/BinUserRTs@553:4336d:30e70.json Results a mapping of user to RT time-series, which is bin start in unix time to total # of RTs at that bin.\n",
"3. Firehose 2013-02-26 - 2013-03-13 => disco_jobs.BinUserActivity (for users in UserMentionTimes@553:33315:ba0a0 with 5 mins bins) => BinUserActivity@553:47faf:a14e9 => ./data/BinUserActivity@553:47faf:a14e9.json Results a mapping of user to her activity time-series, which is bin start in unix time to total # of tweets (including RTs) at that bin.\n",
"\n",
"Control dataset:\n",
"\n",
"1. Firehose 2013-02-26 - 2013-03-14 => disco_jobs.UserMentionTimes => UserMentionTimes@553:5825c:ec006 => ./data/UserMentionTimes@553:5825c:ec006.json. Result is a list of pairs of (user_id, [created_at]) where users mentioned the pattern below in their tweets (excluding retweets). Mentions within 3 hours of one another were excluded. The pattern was:\n",
"\n",
" re.compile('just\\shad.*?(\\#|\\W)(video|videos|email|emailed|pic|picture|pictures|breakup|look\\s(at|on)|experience|conversation|meeting|meetings|session|sessions|interview|interviews|experience|experiences|idea|ideas|chat)($|\\W)', re.UNICODE | re.I)\n",
"\n",
"2. Firehose 2013-02-26 - 2013-03-14 => disco_jobs.BinUserRTs (for users in UserMentionTimes@553:5825c:ec006 with 5 mins bins) => BinUserRTs@553:636e1:99aca => ./data/BinUserRTs@553:636e1:99aca.json Results a mapping of user to RT time-series, which is bin start in unix time to total # of RTs at that bin.\n",
"3. Firehose 2013-02-26 - 2013-03-14 => disco_jobs.BinUserActivity (for users in UserMentionTimes@553:5825c:ec006 with 5 mins bins) => BinUserActivity@553:6cb67:1a024 => ./data/BinUserActivity@553:6cb67:1a024.json Results a mapping of user to her activity time-series, which is bin start in unix time to total # of tweets (including RTs) at that bin."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def read_jsons(filename):\n",
" f = open(filename, 'rt')\n",
" for line in f:\n",
" yield json.loads(line)\n",
" f.close()\n",
" \n",
"f = open('./data/UserMentionTimes@553:33315:ba0a0.json')\n",
"userMentions = dict(json.load(f))\n",
"f.close()\n",
"f = open('./data/BinUserRTs@553:4336d:30e70.json')\n",
"userRTs = dict(json.load(f))\n",
"f.close()\n",
"f = open('./data/UserMentionTimes@553:5825c:ec006.json')\n",
"userMentions_control = dict(json.load(f))\n",
"f.close()\n",
"f = open('./data/BinUserRTs@553:636e1:99aca.json')\n",
"userRTs_control = dict(json.load(f))\n",
"f.close()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 82
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bucket_duration = 300\n",
"def get_mention_aligned_ts(userMentions, userRTs, bucket_duration, time_span = 10800, ts_include_mention=False, bucket_agg_duration = None):\n",
" '''\n",
" aggregate user time-series w.r.t mention time.\n",
" time_span = 10800secs = 3hours of time between activity and user mention.\n",
" '''\n",
" if bucket_agg_duration is None:\n",
" bucket_agg_duration = bucket_duration\n",
" mention_aligned_ts = {}\n",
" for user_id, user_ts in userRTs.iteritems():\n",
" if user_id not in userMentions:\n",
" continue\n",
" for t, cts in user_ts:\n",
" for mention_time in userMentions[user_id]:\n",
" m_time = mention_time / bucket_duration * bucket_duration\n",
" t_aligned = t-m_time\n",
" # is activity time more than time_span of user mention?\n",
" if abs(t_aligned) > time_span:\n",
" continue\n",
" elif ts_include_mention and t_aligned==0:\n",
" cts -= 1\n",
" t_aligned = t_aligned / bucket_agg_duration * bucket_agg_duration\n",
" mention_aligned_ts[t_aligned] = cts + mention_aligned_ts.get(t_aligned, 0)\n",
" return zip(*(sorted(mention_aligned_ts.iteritems(), key=lambda x:x[0])))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 86
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"t1, cts1 = get_mention_aligned_ts(userMentions, userRTs, bucket_duration)\n",
"t2, cts2 = get_mention_aligned_ts(userMentions_control, userRTs_control, bucket_duration)\n",
"#cts1 = np.array(cts1, dtype=float); cts1 = cts1/np.sum(cts1)\n",
"#cts2 = np.array(cts2, dtype=float); cts2 = cts2/np.sum(cts2)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 65
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from scipy.stats import chisquare\n",
"cts2_norm = np.array(cts2, dtype=float); cts2_norm = cts2_norm*np.sum(cts1)/np.sum(cts2_norm)\n",
"print 'chi^2 score = %2.1f, p_value = %1.2g' % chisquare(cts1, cts2_norm)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"chi^2 score = 203.7, p_value = 1.6e-14\n"
]
}
],
"prompt_number": 37
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ts, cts = [t1,t2], [cts1,cts2]\n",
"x_ticks = np.array(range(-10800,10800+bucket_duration*4, bucket_duration*4))\n",
"ts_names = ['just had <sugar>', 'just had <something else>']\n",
"markers = ['b--.', '-r.']\n",
"tsplot.plot_timeseries(ts, cts, format_time_func=tsplot.format_hour_min_delta, x_ticks=x_ticks, ts_names = ts_names, plot_title = 'Retweets around mention', y_label = 'counts / volume', markers = markers, filename='./results/rts_around_sugar.eps', lw=3, markersize=12)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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27dun8ePHq0GDBs7z8vLylJWVpYyMDJUuXVr33HOPJCkrK0vr16/XuHHjVK1a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FmrYUKzQx591HoXgNaB++Yb459wEhEZQnKyfvjYfxhVr65/q3NzdSmmP/5wnMZQkP37dTDDF2lp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\nEBEREREREVHQ+X83IjWgRElFegAAAABJRU5ErkJggg==\n"
}
],
"prompt_number": 57
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = open('./data/UserMentionTimes@553:33315:ba0a0.json')\n",
"userMentions = dict(json.load(f))\n",
"f.close()\n",
"f = open('./data/BinUserActivity@553:47faf:a14e9.json')\n",
"userActivity = dict(json.load(f))\n",
"f.close()\n",
"f = open('./data/UserMentionTimes@553:5825c:ec006.json')\n",
"userMentions_control = dict(json.load(f))\n",
"f.close()\n",
"f = open('./data/BinUserActivity@553:6cb67:1a024.json')\n",
"userActivity_control = dict(json.load(f))\n",
"f.close()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 72
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"t3, cts3 = get_mention_aligned_ts(userMentions, userActivity, bucket_duration, ts_include_mention=True)\n",
"t4, cts4 = get_mention_aligned_ts(userMentions_control, userActivity_control, bucket_duration, ts_include_mention=True)\n",
"#cts3 = np.array(cts3, dtype=float); cts3 = cts3/np.sum(cts3)\n",
"#cts4 = np.array(cts4, dtype=float); cts4 = cts4/np.sum(cts4)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 68
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from scipy.stats import chisquare\n",
"cts4_norm = np.array(cts4, dtype=float); cts4_norm = cts4_norm*np.sum(cts3)/np.sum(cts4_norm)\n",
"print 'chi^2 score = %2.1f, p_value = %1.2g' % chisquare(cts3, cts4_norm)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"chi^2 score = 709.9, p_value = 1.4e-105\n"
]
}
],
"prompt_number": 41
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ts, cts = [t3,t4], [cts3,cts4]\n",
"x_ticks = np.array(range(-10800,10800+bucket_duration*4, bucket_duration*4))\n",
"ts_names = ['just had <sugar>', 'just had <something else>']\n",
"markers = ['b--.', '-r.']\n",
"tsplot.plot_timeseries(ts, cts, format_time_func=tsplot.format_hour_min_delta, x_ticks=x_ticks, ts_names = ts_names, plot_title = 'Twitter activity around mention', y_label = 'counts / volume', markers = markers, filename='./results/activity_around_sugar.eps', lw=3, markersize=12)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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NrL/++mux71vPnj2tjRs3tiYkJFgPHTpkjYiIsP773/+2Wq1W62+//Wa1WCzW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RyeMgV47TWnl8MLc4G//AVITkZgw4aIiZGhHb16WdfJzJRhHbZDO1q1kq/quDgZvVdYCJw4ATRs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\nYFdu0wlnHAAAAABJRU5ErkJggg==\n"
}
],
"prompt_number": 60
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def summarize(group):\n",
" return pd.Series({'mean':group['count'].mean(), 'std':group['count'].std()})\n",
"def get_mean_mention_aligned_ts(userMentions, userRTs, bucket_duration, time_span = 10800, ts_include_mention=False):\n",
" aligned_df = pd.DataFrame()\n",
" for user_id, user_ts in userRTs.iteritems():\n",
" if user_id not in userMentions:\n",
" continue\n",
" t, cts = zip(*user_ts)\n",
" for mention_time in userMentions[user_id]:\n",
" df = pd.DataFrame({'t': t, 'count':cts})\n",
" df['user'] = user_id\n",
" m_time = mention_time / bucket_duration * bucket_duration\n",
" df.t -= m_time\n",
" df = df.ix[np.abs(df.t)<=time_span]\n",
" if len(df) > 0:\n",
" aligned_df = pd.concat([aligned_df, df])\n",
" if ts_include_mention:\n",
" aligned_df['count'].ix[df.t==0] -= 1\n",
" return aligned_df.groupby('t').apply(summarize)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df1 = get_mean_mention_aligned_ts(userMentions, userRTs, bucket_duration)\n",
"df2 = get_mean_mention_aligned_ts(userMentions_control, userRTs_control, bucket_duration)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ts, cts, cts_err = [df1.index.tolist(),df2.index.tolist()], [df1['mean'].values.tolist(),df2['mean'].values.tolist()], [df1['std'].values.tolist(),df2['std'].values.tolist()]\n",
"x_ticks = np.array(range(-10800,10800+bucket_duration*4, bucket_duration*4))\n",
"ts_names = ['just had <sugar>', 'just had <something else>']\n",
"markers = ['b--.', '-r.']\n",
"tsplot.plot_timeseries(ts, cts, format_time_func=tsplot.format_hour_min_delta, x_ticks=x_ticks, ts_names = ts_names, plot_title = 'Retweets around mention', y_label = 'average count', markers = markers, filename='./results/mean_rts_around_sugar.eps', lw=3, markersize=12)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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MSdLhw/lbfBUAAEjFikm33OLeDnTHDv/ilv/v/7n/vw0P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\n0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WD+fBZJ88UXVAZV1J7geCziGFcaTSC2vSGSQOsKKBztUMspsXs3tR1G/p4+TbXpRfr1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}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bucket_duration = 300\n",
"def get_user_norm_mention_aligned_ts(userMentions, userRTs, bucket_duration, time_span = 10800, ts_include_mention=False):\n",
" '''\n",
" aggregate user time-series w.r.t mention time.\n",
" time_span = 10800secs = 3hours of time between activity and user mention.\n",
" '''\n",
" mention_aligned_ts = {}\n",
" user_count = 0\n",
" for user_id, user_ts in userRTs.iteritems():\n",
" if user_id not in userMentions or len(user_ts)<1:\n",
" continue\n",
" t, cts = zip(*user_ts)\n",
" total_user_cts = float(np.sum(cts))\n",
" user_count += 1\n",
" for t, cts in user_ts:\n",
" for mention_time in userMentions[user_id]:\n",
" m_time = mention_time / bucket_duration * bucket_duration\n",
" t_aligned = t-m_time\n",
" # is activity time more than time_span of user mention?\n",
" if abs(t_aligned) > time_span:\n",
" continue\n",
" elif ts_include_mention and t_aligned==0:\n",
" cts -= 1\n",
" mention_aligned_ts[t_aligned] = (cts/total_user_cts) + mention_aligned_ts.get(t_aligned, 0)\n",
" user_count = float(user_count)\n",
" for t in mention_aligned_ts.iterkeys():\n",
" mention_aligned_ts[t] /= user_count\n",
" return zip(*(sorted(mention_aligned_ts.iteritems(), key=lambda x:x[0])))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 60
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"t1, cts1 = get_user_norm_mention_aligned_ts(userMentions, userRTs, bucket_duration)\n",
"t2, cts2 = get_user_norm_mention_aligned_ts(userMentions_control, userRTs_control, bucket_duration)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 61
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ts, cts = [t1,t2], [cts1,cts2]\n",
"x_ticks = np.array(range(-10800,10800+bucket_duration*4, bucket_duration*4))\n",
"ts_names = ['just had <sugar>', 'just had <something else>']\n",
"markers = ['b--.', '-r.']\n",
"tsplot.plot_timeseries(ts, cts, format_time_func=tsplot.format_hour_min_delta, x_ticks=x_ticks, ts_names = ts_names, plot_title = 'Retweets proportion per user around mention', y_label = '% counts / # users', markers = markers, filename='./results/avg_user_rts_around_sugar.eps', lw=3, markersize=12)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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SEBURERGxhKyGgV+8WLjtEBFxZxs2bKBz586MHz9exY08+Oijj6hUqRKPP/44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\ngiAIHkWr/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4q9emlybHs4Y1/nzv4VwaGX354txD7fYds2jt4w/ib69St+G2fsMxiILl60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\nYII=\n"
}
],
"prompt_number": 62
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# active user analysis\n",
"def get_active_user_aligned_ts(userMentions, userRTs, bucket_duration, time_span = 10800, ts_include_mention=False, bucket_agg_duration = None):\n",
" '''\n",
" aggregate active users time-series w.r.t mention time.\n",
" time_span = 10800secs = 3hours of time between activity and user mention.\n",
" '''\n",
" if bucket_agg_duration is None:\n",
" bucket_agg_duration = bucket_duration\n",
" users_count = 0\n",
" user_aligned_t = set()\n",
" for user_id, user_ts in userRTs.iteritems():\n",
" if user_id not in userMentions:\n",
" continue\n",
" users_count += 1\n",
" for t, cts in user_ts:\n",
" for mention_time in userMentions[user_id]:\n",
" m_time = mention_time / bucket_duration * bucket_duration\n",
" t_aligned = t-m_time\n",
" # is activity time more than time_span of user mention?\n",
" if abs(t_aligned) > time_span:\n",
" continue\n",
" elif ts_include_mention and t_aligned==0:\n",
" cts -= 1\n",
" if cts < 1:\n",
" continue\n",
" t_aligned = t_aligned / bucket_agg_duration * bucket_agg_duration\n",
" user_aligned_t |= set([(user_id, t_aligned)])\n",
" user_cts = 1.0/float(users_count)\n",
" aligned_ts = {}\n",
" for user_id, aligned_t in user_aligned_t:\n",
" aligned_ts[aligned_t] = user_cts + aligned_ts.get(aligned_t, 0.0)\n",
" return zip(*(sorted(aligned_ts.iteritems(), key=lambda x:x[0])))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 74
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bucket_duration = 300\n",
"t5, cts5 = get_active_user_aligned_ts(userMentions, userActivity, bucket_duration, ts_include_mention=False)\n",
"t6, cts6 = get_active_user_aligned_ts(userMentions_control, userActivity_control, bucket_duration, ts_include_mention=False)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 80
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ts, cts = [t5,t6], [cts5,cts6]\n",
"x_ticks = np.array(range(-10800,10800+bucket_duration*4, bucket_duration*4))\n",
"ts_names = ['just had <sugar>', 'just had <something else>']\n",
"markers = ['b--.', '-r.']\n",
"tsplot.plot_timeseries(ts, cts, format_time_func=tsplot.format_hour_min_delta, x_ticks=x_ticks, ts_names = ts_names, plot_title = 'Active Users Around Mention', y_label = '% users', markers = markers, filename='./results/active_users_around_sugar.eps', lw=3, markersize=12)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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7E8vdDyQnSyEh3hsQAAC4LPSQAAAARvDPTMuzf2K/ncs2AABA8VCQ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jVXb5Tc5fW/ez8R86lLz9kA5lMd86mrLbI5W3nk0y7z0XOhERkZlo4HYWHybSUqKuR7q23bULl0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\ngg==\n"
}
],
"prompt_number": 81
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bucket_duration = 300\n",
"t7, cts7 = get_active_user_aligned_ts(userMentions, userRTs, bucket_duration, ts_include_mention=False)\n",
"t8, cts8 = get_active_user_aligned_ts(userMentions_control, userRTs_control, bucket_duration, ts_include_mention=False)\n",
"ts, cts = [t7,t8], [cts7,cts8]\n",
"x_ticks = np.array(range(-10800,10800+bucket_duration*4, bucket_duration*4))\n",
"ts_names = ['just had <sugar>', 'just had <something else>']\n",
"markers = ['b--.', '-r.']\n",
"tsplot.plot_timeseries(ts, cts, format_time_func=tsplot.format_hour_min_delta, x_ticks=x_ticks, ts_names = ts_names, plot_title = 'Active Retweeters Around Mention', y_label = '% users', markers = markers, filename='./results/active_retweeters_around_sugar.eps', lw=3, markersize=12)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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jx44533f8+HHGjh1L5cqV6dOnD3/88ccN5du+fTujR48mNDSUuLg4AM6ePcvg\nwYMJCwsjMDCQ9u3bO4cWHDp0iAkTJhAWFsbf/vY3tmzZ4rzWgAEDeOqpp3jggQcICgqiZ8+enD17\nlokTJ1K9enXuv/9+EhISnOefPHmS119/nfDwcLp3786yZcsA8r1vx44dIyoqiipVqvDUU0+Rern1\nPSkpCS8vLzIzMwFzyMgLL7yQ67kA33//PV27dqVGjRpMnz7d+Zxzc/HiRRYsWEDHjh1p0qQJsbGx\nXLhwIddzc/s9uGLJkiX06tWLO+64g9deey3Hs6pTpw69e/dm0aJFzmdfpAyLsWCVRUREJBeVKxsG\nmK+DB4u6NiJSXOX6/aJDh6z/gXL1q0OHG65jWFiYERcXZwwYMMCYMGGCc/+qVauMatWqGYZhGMeP\nHzeqVatmJCQkGIZhGAcOHDASExMNwzCMmJgYIzo6Ot/PqFGjhtG4cWNj48aNRkJCgvMzDcMwUlJS\njM8++8xIT0839u3bZ0RFRRnPPPOM8719+vQxHnnkEeP33383Zs2aZZQrV+66n3fixAnjrbfeMiIi\nIoyqVasaY8eONXbu3Ok8/uabbxp//etfjbS0NOPixYvGunXrnMfat29vPPHEE8axY8eM2NhYo0KF\nCkZ6erphGIbRv39/w9fX11i0aJFx+PBho1WrVkaDBg2MqVOnGidOnDCGDh1qDBw40Hmt++67zxgx\nYoRx5MgRY82aNUbVqlWNvXv35nnfOnToYISGhhpxcXHGwYMHjRYtWhjvv/++YRiGsX//fsPhcBiX\nLl267rknT540ypYta8ybN884fPiw8eijjxolS5Y0VqxYkev9mjZtmtGxY0dj+/btxr59+4zIyEjj\nvffeMwyj4L8HixYtMho3bmx8//33xuHDh40HHnjAGD9+vPMzUlNTjXfeecdo06aNUalSJeOpp54y\ntm3bluczzOu7uau+s6tnhYiIiBSJbH9cws+v6OohInKN0qXdd20fH7dc1uFwkJ6eTkJCAhkZGVSv\nXp1atWoBYBjGdSc8dDgc9O/fnxYtWlCnTh2ioqJYvnw5AAEBAdx33334+PhQu3ZtxowZw6JFiwDz\nL/5xcXFMnjyZypUr079/f5o1a5bn55w+fZp+/fpRs2ZNVq9ezZQpUzh48CAvvvgi9evXd56XmZlJ\ncnIyhw4dokSJEtx9990AJCcns2nTJl544QUqVqzIwIEDadSoEUuWLHG+t0OHDvTq1YsqVarQq1cv\njh8/ztOzeFPhAAAgAElEQVRPP42/vz+PPvqos/fC6dOnWb9+PS+88AKVKlWiXbt29O3bl4WXxyXm\ndt8cDge9e/emU6dOhISEcP/99zvvU273NK9zly1bRvPmzXn44YepUqUKkyZN4uLFi3netwULFjBl\nyhTCw8OpXbs2I0eO5PPPP8/1M/P6Pfj444/55z//SevWralSpQrjxo3LcQ1fX1+GDh3Kd999x9q1\na/Hx8aF79+60aNGCVatW5Vk3d1FjhYfR2EFrUz7rsnM2UD6rs2M+w4AJE+D//T/o2TOesmWLukbu\nYcdnl53yWZvy5WPECKhdO+e+2rXhq68K3ofiq69yv8bw4Tdfr3wEBgYyd+5cXnvtNapUqcKoUaM4\nfvz4DV2jSZMmznKVKlU4dOgQYDYcjB8/nnbt2uHn50efPn3YuXMnhmGwa9cuMjMznV+IAZo1a5Zn\n40hGRgY7duwgKCiIJk2aEB4enuuElIMGDSIyMpKePXvSqFEjYmNjAVi/fj21atWiXLlyznMjIiJY\nt24dYH5Zv/POO53HgoODCQ8Pz7F9Jde6des4fvw4VatWxd/fH39/fz744APntQpynypXruy83o2c\nu2HDhhzHatWqha+vb67XOHPmDN999x09evRw1nPAgAF8991315yb3+9BXFwcw4YNc17jnnvuISkp\nKceQnitCQ0Np3LgxjRo1IjEx8YZ/l1xBjRUiIiJS6BwOeOYZeOklGD3a3BYR8Rg9esC0aeYKHh06\nmD+nTTP3F+Y1rhISEpJjEsTsczUAdO/enbi4OHbu3Mn+/ft56aWXAPD29r7hpSSzn//JJ5+wePFi\nZs6cSXJyMp9++qmz10G9evXw8vIiMdv8HD/88EOeK2IEBASwbds2PvroIw4ePEizZs3o1KkTs2fP\nzjF/QtmyZRk3bhyJiYl88MEHPPXUU+zcuZPWrVvzyy+/cObMGee5mzZtol22iY8KmrVNmzZUrFiR\no0ePcvLkSU6ePMmpU6ecvUZu5r4VVKtWrdi6datz+5dffiEt+2RO2ZQrV45WrVrxzTffOOuZmpqa\n52Skef0edOzYkf/85z/Oa5w8eZIzZ84QHBwMmPdt7dq1DBkyhJCQEGbOnEn//v05cuQIDzzwgIvv\nwPWpscLDREZGFnUV3Er5rM3O+eycDZTP6uye7+jRSPr2hY4dcy5lagd2f3bKZ23Kdx09esDSpRAf\nb/68mUYGV1zjMofDQadOnVi+fDl79+5l8+bNzJ4923k8ISGBlStXcv78eUqVKkXp0qUpX748AM2b\nN2fnzp2cP3/+pj778OHD+Pn5ERQUREJCAi+++KLzWMmSJencuTOTJ0/myJEjzJs3L8eX8LxERETw\n1ltvcfjwYYYOHcrHH39MSEiIc4LLxYsXs2/fPjIzMylXrhylSpXCx8eHoKAgWrRowfjx4zl27Biz\nZs1ix44dREVFAQVvqADw8/Ojbdu2jB8/ngMHDnDp0iW2b9/O5s2bgbzv2418Rl7ndu3alR9//JEP\nP/yQ33//neeeew5vb+88rxMdHc3EiRP58ccfyczM5NChQ857lV1+vwfR0dG89NJLrFu3jkuXLnH8\n+HG++OIL53tr167N4MGDqVWrFtu2bWPp0qU8+OCDlCpVqsB5XUmNFSIiIlKkdu+G//0PVq0yyyIi\nkru2bdvyyCOP0KlTJ0aOHMnjjz/u7MFw/vx5xo0bR8WKFYmIiMDPz48nn3wSMOdwqFu3LjVr1iQi\nIqJAn+VwOJzXHjhwICEhIdStW5fo6GgGDhyYo+fE22+/TXBwME2aNGHhwoUMGzaswJlKlizJAw88\nwNdff82ePXuoW7cuAHv37qVLly74+voyZMgQnn/+eedQk//+97+ULVuWFi1aEB8fz4oVKyhTpsw1\n9c5t+8q+K9555x1q1KjBX/7yFypWrMhjjz3GqVOn8r1v+V0/v8/Kfq6fnx9Lly4lNjaW1q1b06xZ\nM/z8/PIcCjJkyBAGDhzIxIkTCQgIoEuXLjlWNSnI70H37t157rnnePPNN6lYsSJt2rRh48aNzmvM\nmzePPXv2MG7cOKpWrZprPQqTw3BXvxY3cTgcbuuK4wni4+Nt3cqtfNZm53x2zgbKZ3V2zzdiRDxv\nvBEJwN//DjNmFG19XMnuz075rE35TFb4fhESEsLChQtp2bJlUVdF3GTHjh20bduWEydO5DmExtPk\n9d+Oq/6bUs8KERERKVIVKmSVT5wounqIiHiixMRE0tLS8l1hQ6zpyy+/5OzZsyQkJDBp0iQ6depk\nmYaKwqCeFSIiIlLovvsOliwxlyw9eRL+9S9zf6dOEBdXtHUTkeLFk79fbNq0iX79+vHkk0/yxBNP\nFHV1xMWGDBnC//73P3x9fRkwYACPPfaYRwy/KCh396xQY4WIiIgUupdfNpctBWjXDtauNctNmsBV\nk9uLiLiVvl+I3BwNAylmtN61tSmfddk5Gyif1dkxX2pqVrly5Xj++19zovxsE9vbgh2fXXbKZ23K\nJyKeLO+1UURERETcJHtjRaVK8Ne/Fl1dRERExPNoGIiIiIgUuuhomDfPLM+aBf37F2l1RKQYCwgI\n4OTJk0VdDRHL8ff350QuM2O76ju7elaIiIhIocves8LPr+jqISKS25ctESl6mrPCw9h9bJ3yWZud\n89k5Gyif1dkxX3Q0TJoEI0dCamp8UVfHbez47LJTPmtTPuuyczZQPjGpZ4WIiIgUugceyCrr32wi\nIiJyNc1ZISIiIkVu2jT45htISYHJk6Fbt6KukYiIiNwMzVkhIiIitrFtGyxZYpYPHCjauoiIiEjR\n05wVHsbu45eUz9rsnM/O2UD5rK445AsMzNpOSSm6urhacXh2dqZ81mbnfHbOBsonJjVWiIiISJGz\na2OFiIiI3BzNWSEiIiKF6tgxePFFc8nS6tWhf3+IjYXBg83j/fvDrFlFWkURERG5SZqzQkRERCzp\n0CF49VWz3KiR2TihnhUiIiKSnYaBeBi7j19SPmuzcz47ZwPlszq75UtLyyr7+Zn5WreGhQthzRqY\nPr3o6uZqdnt2V1M+a1M+67JzNlA+MalnhYiIiBSq1NSssp+f+bNyZejdu2jqIyIiIp5Hc1aIiIhI\noZo1C/72N7McHQ1z5hRpdURERMSFXPWdXcNAREREpFBlHwbi61t09RARERHPpcYKD2P38UvKZ212\nzmfnbKB8Vme3fHffDS+8AE8/DV262C9fdnbOBspndcpnXXbOBsonJs1ZISIiIoUqIsJ8XaF/s4mI\niMjVNGeFiIiIeISnn4b1682lS2fPhmbNirpGIiIicqNc9Z1dPStERETEI2zdCqtXm+Xffy/auoiI\niEjR0pwVHsbu45eUz9rsnM/O2UD5rK645AsMzNqXklI0dXG14vLs7Er5rM3O+eycDZRPTGqsEBER\nEY9gx8YKERERuTmas0JEREQK1bPPwqVL5rKlw4ZBhQrm/pgYmDzZLD/zDDz/fJFVUURERG6S5qwQ\nERERS3r7bThxwiwPHJi1P3vPiivHRUREpHjSMBAPY/fxS8pnbXbOZ+dsoHxWZ6d8hgFpaVnbvr5Z\n+Xr1gmXL4IcfzF4WdmCnZ5cb5bM25bMuO2cD5ROTelaIiIhIoTlzxhwCAlCmDJQqlXWsRg3zJSIi\nIqI5K0RERKTQHDwIoaFmuUoVOHy4aOsjIiIiruWq7+waBiIiIiKFJjU1q+znV3T1EBEREc+mxgoP\nY/fxS8pnbXbOZ+dsoHxWZ6d8wcEwfTo89xz8/e/mPjvlu5qds4HyWZ3yWZeds4HyiUlzVoiIiEih\nCQ6G4cOLuhYiIiLi6TRnhYiIiHiMhx+GhARISYF166Bq1aKukYiIiNwIV31nV88KERER8Rhbt8LO\nnWY5OVmNFSIiIsWV5qzwMHYfv6R81mbnfHbOBspndcUpX2Bg1v6UlMKvi6sVp2dnR8pnbXbOZ+ds\noHxiUmOFiIiIeAy7NVaIiIjIzdGcFSIiIlJoZs2CLVvMZUvvvx/uvDPn8cGDITbWLL/zDgwdWuhV\nFBERkVugOStERETEcpYsgQULzHK9etc2VqhnhYiIiICGgXgcu49fUj5rs3M+O2cD5bM6O+VLTc0q\n+/mZP7Pne+wx+PZb2L3bHkuc2unZ5Ub5rE35rMvO2UD5xKSeFSIiIlJocmusyK52bfMlIiIixZvm\nrBAREZFCU68e7NljlnfsgAYNirY+IiIi4lqu+s6uYSAiIiJSaK7Xs0JEREQE1Fjhcew+fkn5rM3O\n+eycDZTP6uyU78UX4eWX4dlnISDA3GenfFezczZQPqtTPuuyczZQPjFpzgoREREpNP37F3UNRERE\nxAo0Z4WIiIh4jMxMuOceSE6Gkyfh4EHwUj9QERERy3DVd3Y1VoiIiIhH8fWFU6fMckpK1nARERER\n8XyaYNOm7D5+Sfmszc757JwNlM/qilu+wMCsckpK4dbF1Yrbs7Mb5bM2O+ezczZQPjG5pbFizZo1\n1K9fnzp16vDGG29cc3z37t20adMGHx8fXnnllRt6r4iIiNibnRorRERE5Oa4ZRhI06ZNmTZtGjVq\n1CAqKop169YRFBTkPH78+HEOHDjA559/jr+/P6NHjy7wezUMRERExJq+/x4++MBcsrR1a+jTJ/fz\nunWDb74xy199BT16FF4dRURE5NZ47DCQtLQ0ANq3b0+NGjXo2rUrGzZsyHFOxYoViYiIoGTJkjf8\nXhEREbGmbdvg/ffNpUuXLMn7PPWsEBEREZcvXbpp0ybq1avn3G7QoAHr16+nRwH+LFLQ9w4YMICw\nsDAA/Pz8aNKkCZGRkUDW+B+rbr/++uu2yqN8nlU/5ct7+0rZU+qjfMpnx3w//ghgbp86FU98fO75\nJk2Ce+6Jp0IFuPdez6n/zWxf2ecp9VE+5VM+z6nfrWxv3bqVUaNGeUx9lK9459u6dSupqakAJCUl\n4TKGiy1fvtzo16+fc3vGjBnGhAkTcj03JibGePnll2/ovW6oskdZtWpVUVfBrZTP2uycz87ZDEP5\nrM4u+caPNwwwX889l7XfLvlyY+dshqF8Vqd81mXnbIahfFbnqu/sLp+zIi0tjcjISLZs2QLA8OHD\n6datW649KyZPnsxtt93mnLOiIO/VnBUiIiLW9Pjj8PbbZnn6dBg+vGjrIyIiIq7nsXNW+Pr6Auaq\nHklJSSxfvpxWrVrleu7VAW7kvSIiImItl3uIAnD5//JFREREcuXyxgowx7UPHTqUzp07849//IOg\noCDeffdd3n33XQCOHDlCaGgor732Gs8//zzVq1fnjz/+yPO9xUn2MXZ2pHzWZud8ds4Gymd1dsn3\n2GMwYwZMnQoREVn77ZIvN3bOBspndcpnXXbOBsonJpdPsAnQoUMHdu3alWPf0KFDneXKlSvz22+/\nFfi9IiIiYn0dOpgvp8WLzfEgR49CpUowYoTWKRUREREAXD5nhbtpzgoREREbWLwYRo6ExMSsfbVr\nw7RpHGvRg+7dzWVLy5aFnTuLrpoiIiJyY1z1nV2NFSIiIlL4oqJg2bJc95/+ZCkVKpibZcrA2bOF\nWzURERG5eR47wabcGruPX1I+a7NzPjtnA+WzOlvmO3/eWYzPvv/cOW67DUqWNDfT082XVdny2WWj\nfNamfNZl52ygfGJSY4WIiIgUvtKlc9/v44PDAQEBWbtSUgqnSiIiIuI5NAxERERE3O7UKRg2DPz8\noEoVmNB0MTz+OBw4kHVSSAi8+y706EF4eNZcFT/9BI0bF029RURE5Ma46ju7W1YDEREREckuORnm\nzzfLNWrAhKQekJAATz2VddKDDzpXAwkMzNqtnhUiIiLFj4aBeBi7j19SPmuzcz47ZwPlszo75EtN\nzSr7+V0u1KkDZJuzwtfXec7775ttGSkpVy13ajF2eHb5UT5rUz7rsnM2UD4xqWeFiIiIuF32xgpn\nm8SxYzlP2r/fWaxb1/11EhEREc+lOStERETE7RYuhPvvN8u9esGiRcALL8C4cVknRUbCqlVFUT0R\nERFxES1dKiIiIpaR6zCQo0dznpStZ4WIiIgUb2qs8DB2H7+kfNZm53x2zgbKZ3V2yNe+PcyeDdOm\nwUMPXd55eRhI/JWTfvsNMjKKoHbuY4dnlx/lszblsy47ZwPlE5PmrBARERG3q13bfOVwdc+KzEw4\neBBq1syx2zDA4XBv/URERMSzaM4KERERKRqNG8O2bTn3rVgBHTvy88/mSqYpKVCvHqxZUzRVFBER\nkRvjqu/s6lkhIiIiRePq1UDAOW+Ftzfs3m3u8vcvxDqJiIiIR9CcFR7G7uOXlM/a7JzPztlA+azO\nlvkuXYLjx4Fsc1aAs7EiMDBrV0pKodXK5Wz57LJRPmtTPuuyczZQPjGpsUJEREQK34kT5hwVV0tK\nAiAgIGvXyZO5nyoiIiL2pTkrRERExO1GjzYbHXx9YexYqJKyHRo1uvbEu+6Cb78FzCVO09LM3Skp\nORswRERExDNpzgoRERGxjIULnSM8ePxxcs5XERpqLlsKWSdhDgVRY4WIiEjxpGEgHsbu45eUz9rs\nnM/O2UD5rM4O+VJTs8p+fuRorIivUQNKlDA3fv8d0tMB+OYbcyXT9HSoU6cQK+tCdnh2+VE+a1M+\n67JzNlA+MamxQkRERNwqMzOrhwSYQ0E4ejRrR2Cg2bviil9/BeD22yEkBHx8CqeeIiIi4jk0Z4WI\niIi41alTlxsogLJl4cwZ4Jln4N//NndOngyrVsGVvzQtWQLduhVFVUVEROQWueo7u3pWiIiIiFtl\n71Xh53e5kL1nRXAw1KyZtZ1t3goREREpntRY4WHsPn5J+azNzvnsnA2Uz+qsns/fHxYsgPfegylT\nLu/MPmfF8eM5GysuL19qB1Z/dtejfNamfNZl52ygfGLSaiAiIiLiVrfdBn37XrUz+2og/v5Z40Qg\n154Vly5lzcEpIiIi9qc5K0RERKTw1ayZ1YMiIcEcFtKunbkdEQGbNrF0KTz2mLlsaY8eZu8MERER\n8Wyu+s6unhUiIiJS+LL3rKhUyZx584rLPSu8vOC338xdKSmFWDcREREpcpqzwsPYffyS8lmbnfPZ\nORson9XZLt8ff8DZs2a5dGnif/gBqlSBUqXMfSkpcPo0gYFZb7FqY4Xtnt1VlM/alM+67JwNlE9M\naqwQERGRwnV1rwqHw+xGUaNG1v6kJFs0VoiIiMjN0ZwVIiIi4lbvvw/Ll5vLlj70EET6rIc2bcyD\nl+enACAqCpYtM8uLFnH6nl5UqGBulimT1RlDREREPJfmrBARERFL2LAha3LMZs0gsvLRrIPBwVnl\n7MuX7t/PbX+GkiUhIwMuXIBz58DHp3DqLCIiIkVLw0A8jN3HLymftdk5n52zgfJZndXzpaVllX19\nuWYYiDNfWFjW/qQkHA5zoZCTJ80GCys2VFj92V2P8lmb8lmXnbOB8olJPStERETErVJTs8p+fsC+\ngvWsgJztFyIiIlJ8aM4KERERcauWLbOmpfj+e2g9fwS88Ya549VX4cknzfLGjdCqlVlu3Bh++qnw\nKysiIiK3xFXf2TUMRERERNwqe88KX1/gaAF6ViQlgf44ISIiUmypscLD2H38kvJZm53z2TkbKJ/V\nWT3f22/DvHnw1lsQEkLec1YEBUHZsmb51ClzsgqLs/qzux7lszblsy47ZwPlE5PmrBARERG36tz5\nqh3ZGyuCg+HECbPscJi9K3bsMLf374eAAAAyM81JNkuXdn99RUREpOhpzgoREREpXEFBkJJiln//\nHSpXzjr25z/DV1+Z5U8+4f3Uv/DPf5qdLEaNMqe4EBEREc+lOStERETEei5ezGqocDjMhovsrpq3\nwsvL7HhhGFlvExEREftTY4WHsfv4JeWzNjvns3M2UD6rs1W+48ezyoGB4O2dM1/2tUr37ycwMGvz\nymgRK7HVs8uF8lmb8lmXnbOB8olJjRUiIiJSeK6aXPMa2XtWXNVYoZ4VIiIixYfmrBARERG32bgR\npkwBPz9o3Roer7scunY1D95zD6xcmfMNW7dC06ZmuX59dn26kwYNzM26dWHPnsKru4iIiNw4V31n\n12ogIiIi4jb792fNl3nuHDzuezTrYHDwtW/IPgwkKYnAAANwAHD+vNuqKSIiIh5Gw0A8jN3HLymf\ntdk5n52zgfJZnZXzpaZmlf38yHUYSI58fn6XTwTS0wm6dJTDh82GiqQkd9fW9az87ApC+axN+azL\nztlA+cSkxgoRERFxm+yNFb6+wNHr9KyAHPNWeB3YT5UqUKqUe+onIiIinklzVoiIiIjbjB8PU6ea\n5SlTYELi32DWLHPHf/4Dgwdf+6Y+feCzz8zy/Pnw0EOFUlcRERG5da76zq6eFSIiIuI2+Q4Dyatn\nxVXLl4qIiEjxo8YKD2P38UvKZ212zmfnbKB8VmflfI8/DgsXwsyZ0KkTuQ4DuSbfVcuXWpmVn11B\nKJ+1KZ912TkbKJ+YtBqIiIiIuE14uPlyymWCzWvk0Vhx9qz5s2xZ19VPREREPJPmrBAREZHCYRjg\n4wMXLpjbf/wB5cpde96OHdCwoVmuXZtnH9rHyy+bS5+++io8+WThVVlERERujOasEBEREWs5dSqr\noaJcudwbKiDnnBW//kpJr0ucO2dupqS4tYYiIiLiIdRY4WHsPn5J+azNzvnsnA2Uz+psky+PyTWv\nyVeuXNbxjAyqlzjkPGS1xgrbPLs8KJ+1KZ912TkbKJ+Y1FghIiIihSOXyTXzlG3eimoXk5xlqzVW\niIiIyM3RnBUiIiLiFhkZ0K2buWRpQAD8p/tn0KePebBXL1i0KO839+sHH38MwPYxs2j0cn8AOnaE\nFSvcXXMRERG5Wa76zq7VQERERMQt0tJg5Uqz7OcH/2l2cz0rAk+ZK4J4618tIiIixYaGgXgYu49f\nUj5rs3M+O2cD5bM6q+ZLS8sq+/mR57KluebL1lhRKX0/aWnm3JxW61Vh1WdXUMpnbcpnXXbOBson\nJv2NQkRERNwiNTWrfE1jxfV6VmRbEcTrQBIVKri0aiIiIuLhNGeFiIiIuMWKFdC5s1nu0AHig/4C\nn35q7vjwQ3Neirzs3Qt165rl0FD49Vf3VlZERERcwlXf2TUMRERERNyioMNAclW9OjgcZvngQXMM\niIiIiBQbaqzwMHYfv6R81mbnfHbOBspndVbN17YtfPONuajHqFHkuXRprvlKl4aQELNsGJbtWWHV\nZ1dQymdtymddds4GyicmzVkhIiIibhEcDF27ZttxIz0rwJy34uBBs5yUxMWw2zl5EsqVg7JlXVlT\nERER8TSas0JERETc7/x58PExy15ekJFh/szPo4/C3LkAxLZ6j8EbhgCwYAH07evOyoqIiMjN0pwV\nIiIiYh3Hj2eVK1a8fkMF5Fi+tMq5/c5ySoorKyYiIiKeSI0VHsbu45eUz9rsnM/O2UD5rM4W+fIZ\nApJnvmzLl1a9kOQsW6mxwhbPLh/KZ23KZ112zgbKJyY1VoiIiIj75TG5Zr6y9ayoeEY9K0RERIoT\nzVkhIiIibvHEE/DLL+DrC6/eOZsq4waYBx5+GObNu/4FDhxw9q44W6ES5U4dAcypLGbPdk+dRURE\n5Na46ju7VgMRERERt1i3Dn76ySy/HHwTPStCQsDbGy5epOypo5ThLKV8y+Ktf72IiIjYnoaBeBi7\nj19SPmuzcz47ZwPlszqr5ktNzSqXO5NtzoqrGivyzOftDaGhzs20nw6QmgqxsS6spJtZ9dkVlPJZ\nm/JZl52zgfKJSY0VIiIi4hZpaVnlMqfznmAzX9nmrSh5cH8+J4qIiIidaM4KERERcbnMTLNjxJX/\ny77UJQqv5cvMja++gh49CnahwYOzulK8+SY8/rjrKysiIiIu46rv7OpZISIiIi53+nRWQ0W5cuB1\n/CZ7VmRbvpT96lkhIiJSXKixwsPYffyS8lmbnfPZORson9VZMV/ZsrBmDXzxBcyaRb5Ll+abL9sw\nEJKSXFjDwmHFZ3cjlM/alM+67JwNlE9Mmk9bREREXK5kSWjX7vJGZiY8dDzrYEFXA4EcjRXG/v2c\n+QNSUszOGT4+rqmriIiIeB7NWSEiIiLudeIEBAaa5QoVcs68eT2//w5VqwJwytsf34snAPjuO2jT\nxtUVFRERkVulOStERETEGvIZAnJdlSpB6dIAVLh4kgqYDR0pKa6qnIiIiHgiNVZ4GLuPX1I+a7Nz\nPjtnA+WzOsvnO5b/5Jr55vPyyjHJZhhJgHUaKyz/7K5D+axN+azLztlA+cSkxgoRERFxr1vpWQE5\n5q2oibkiiFUaK0REROTmaM4KERERcbn334e5c8HPDyYFvUmzD4abB/7+d5gx48YuNmwYvPMOAE/y\nKq/zJOPHw7/+5eJKi4iIyC1z1Xd2rQYiIiIiLrd7t7l0KcDYTtmGgdxiz4raXklUyZrGQkRERGxK\nw0A8jN3HLymftdk5n52zgfJZnRXzpaZmlf0v5D8M5Lr5sjVWPN5jP4cPw8SJt1jBQmLFZ3cjlM/a\nlM+67JwNlE9MaqwQERERl8veWFHhXP4TbF5XtsYKx/79t1ArERERsQrNWSEiIiIu16ULxMWZ5RP1\n78J/1/fmxurV0L79jV0sORkqVjTLt90Gp06Bw+G6yoqIiIjLuOo7u3pWiIiIiMtl71lR5vQt9qwI\nDDQbKQD++ENLgYiIiBQDaqzwMHYfv6R81mbnfHbOBspndVbMN3Om2bPi00+hdFr+E2xeN5/DkWMo\nCBYaCmLFZ3cjlM/alM+67JwNlE9MWg1EREREXK5hQ/NFejqcPm3uLFnSXMv0ZoSFwbZtAKRu3c/v\nt7WgTh3w1r9kREREbMktc1asWbOGoUOHcvHiRUaMGMHw4cOvOWfcuHF8/PHH+Pv789///pd69eoB\n8J///IeZM2dy/vx52rVrx+uvv56zwpqzQkRExDoOHDAbGgBCQuDgwZu7zsiRMH06AGN5kf9jLL/9\nBosCVuoAACAASURBVNWquaaaIiIi4hoePWfFyJEjeffdd4mLi+Ott94iOTk5x/GNGzeydu1aNm/e\nzJgxYxgzZgwAJ06c4N///jfLly9n06ZNJCQk8M0337ijiiIiIlIYjua/bGmBZRsGUhNzGIimrhAR\nEbEvlzdWpKWlAdC+fXtq1KhB165d2bBhQ45zNmzYwF/+8hcCAgJ46KGH2LVrFwBlypTBMAzS0tJI\nT0/n7Nmz+Pv7u7qKHs3u45eUz9rsnM/O2UD5rM7S+Y5df3LNAuWzaGOFpZ9dASiftSmfddk5Gyif\nmFw+0nPTpk3OIR0ADRo0YP369fTo0cO5b+PGjURHRzu3K1asSGJiIrVr12bGjBmEhYVRunRpRowY\nQcuWLa/5jAEDBhB2uUupn58fTZo0ITIyEsh68Fbd3rp1q0fVR/mUrzjl07a2te2G7cs9K+IBMjMx\nj97E9S730ozkSmNFPGvWQMeOHpb3qu0rPKU+yqd8ymeP7a1bt3pUfZSveOfbunUrqZeXAUtKSsJV\nXD5nRVxcHLGxsXz44YcAvPPOOxw6dIgpU6Y4z3nkkUeIjo4mKioKgNatWzN//nzKly9PixYtiIuL\nw9/fn759+zJ69OgcDR2as0JERMSzbd0KQ4aYc2mOyZhK1Orx5oExY+D//u/mLnrqFPj6AnCO0pTl\nLG+97cWwYS6qtIiIiLiEx85Z0aJFC3bv3u3c3rFjB61bt85xTqtWrdi5c6dz+/jx49SqVYuNGzfS\nunVrbr/9dgIDA+nbty9r1qxxdRVFRETEjX7/HTZvNpcu/WP/9YeBFEiFChAQAIAP52kTdoTSpW+x\noiIiIuKxXN5Y4Xv5rx5r1qwhKSmJ5cuX06pVqxzntGrVik8//ZSUlBTmz59P/fr1AWjbti2bN2/m\nxIkTnD9/niVLltC1a1dXV9GjXd1tzW6Uz9rsnM/O2UD5rM5q+S5PXwVAJeP6E2wWOF+2eSu+nbef\ngQNvonKFzGrP7kYpn7Upn3XZORson5jcsjr566+/ztChQ8nIyGDEiBEEBQXx7rvvAjB06FBatmxJ\n27ZtiYiIICAggHnz5gFmQ8eECRO47777OHv2LN26deOee+5xRxVFRETETS4PWwUg8JKLelaAuQTq\nDz+Y5aQkuPvuW7ueiIiIeCyXz1nhbpqzQkRExLO98AKMG2eWDwc1okrydnPjxx+hadObv/D/+3/w\n8stmecoUmDDh1ioqIiIiLuexc1aIiIhI8ZZ9GEj59Gw9K/IYBlJg2YaBsH//rV1LREREPJoaKzyM\n3ccvKZ+12TmfnbOB8lmd1fKNGAHffw9LvrpEufTkrAMVK+Z6foHzXV62HLBMY4XVnt2NUj5rUz7r\nsnM2UD4xuWXOChERESm+qlQxXxxLgcxMc6e/P5QqdWsXztazImNfEtu33NqoEhEREfFcmrNCRERE\n3GP7dmjUyCzXqwe7dt3a9dLToWxZAC5SgjKc49xFb0qUuMV6ioiIiMtozgoRERHxbEevv2zpDSlT\nBipXBsCbS4RwMMfKIyIiImIfaqzwMHYfv6R81mbnfHbOBspndZbNd6xgk2veUL5s81bU/P/s3Xd4\nVGX6xvFvCiESmkhROoTQBAQRUFCIKzJicHdF/SkqAooLqCTqsip2LNhRElFQFEQWRcGCjBRRimUF\nbCBoKJGOVCUBJAGS+f3xkkxCJqRNOefk/lxXrpxzpr23h8TMM+d9Xjaxf3/phxVMtj13JaR89qZ8\n9uXkbKB8YqhYISIiIoGRv1hRr55/njNf34qmbLZ8sUJERETKRj0rRERExK/OOw8qV4bE3fdzbdpT\n5uCYMfDww+V/8gcegLFjAXiMhzj3k8fo16/8TysiIiL+4a/37FoNRERERPzm6FH4/nuzfTMBuLIi\n3zSQc2tuolIl/zytiIiIWIumgViM0+cvKZ+9OTmfk7OB8tmdnfKlp3u3G1QqWYPNUuXLNw2kX7vN\nuFylGFwI2OnclYXy2Zvy2ZeTs4HyiaFihYiIiPhN/mLFmeEla7BZKvmKFWza5J/nFBEREctRzwoR\nERHxm+++gy5dzPb2qGY0OLrZ7GzYAC1alP8Fjh41S5jm5EBYGBw5YhpkiIiIiCX46z27rqwQERER\nvzlwIHfLwxnHSzYNpFSioqBBgxMv4YEtW/zzvCIiImIpKlZYjNPnLymfvTk5n5OzgfLZnZ3yXXAB\nrFoFX847THTOEXMwOhqqVSvyMaXJ53bD6kPeqSDLZ24u40iDw07nriyUz96Uz76cnA2UTwwVK0RE\nRMRvYmKgQwe4MO6kqyrCwsr93G43JCXBD396ixUfjtuE213upxYRERGLUc8KERER8b///Q+6dzfb\n550HK1eW+yldLohY6CaZRFrwGwDvcTVvut5n/vxyP72IiIj4gXpWiIiIiHXtybcSSL16fnnKjjvc\njCcpr1AB0Jf5nLNdl1aIiIg4jYoVFuP0+UvKZ29OzufkbKB8dmfLfLtL3lyzpPmu2ZVMHGkFjlXj\nEFfuTCnt6ILGlueuFJTP3pTPvpycDZRPDBUrRERExP8CcGVFs/pZPo/XrZbpl+cXERER61DPChER\nEfGbYcNMe4oH94yk/46XzcFx4+Cuu8r/5C4XLFxY6HBas0uI/W1R+Z9fREREyk09K0RERMRyUlPh\nxx/h2A7/X1lBYiLExhY6vP/8y/3z/CIiImIZKlZYjNPnLymfvTk5n5OzgfLZnZ3yHThgvtfD/z0r\nSEiA8ePB5cJTu3be4a6X1T7Fg0LLTueuLJTP3pTPvpycDZRPDBUrRERExG9yixV1yXdlRTHFilJJ\nSID58wkbNsx7LDXVf88vIiIilqCeFSIiIuI3NWtCejrspTa12W8O7trlv6kgud5+G266yWz37w+z\nZ/v3+UVERKRM1LNCRERELCUnBzIyIJJj3kJFWBiccYb/X6x1a++2rqwQERFxHBUrLMbp85eUz96c\nnM/J2UD57M4u+cLCYN06WPnpPu/B2rUhMvKUjytTvlatvNsbN8Lx46V/jiCwy7krK+WzN+WzLydn\nA+UTQ8UKERER8YuwMIiLg45nlby5ZplVr47nrLPM9tGjTHtsc2BeR0REREJCPStERETEvxYuBJfL\nbF98MXzxRUBeJqvHxVT+ZgkAV582l/cOJRCuj2FERERCSj0rRERExJr25FsJxN+NNfOJ6uDtW9Hk\nSCpbtgTspURERCTIVKywGKfPX1I+e3NyPidnA+WzO9vl2126aSBlzReWr29FK9axenWZniagbHfu\nSkn57E357MvJ2UD5xFCxQkRERPwrSFdW5F8RpDWprFoVuJcSERGR4FLPChEREfGLN96AZ5+FF/4Y\nTL99b5mDr78OQ4cG5gU3bYLmzQHYTV1uv2o3s2YF5qVERESkZNSzQkRERCxlxw5Yvx7C9+W7siJQ\nq4EANG5MTuVoAOqxhyH/+CNwryUiIiJBpWKFxTh9/pLy2ZuT8zk5Gyif3dklX3q6+V6X0k0DKXO+\niAjCW7XM201osa5szxNAdjl3ZaV89qZ89uXkbKB8YqhYISIiIn5x4ID5Xo/SNdgsl3xNNllnvWKF\niIiIlI16VoiIiIhfXHUVfPCBh0yiqcxRc/DQIYiJCdyLPvwwPP642b73Xnj66cC9loiIiBRLPStE\nRETEUtLToQbp3kJFTExgCxWgKytEREQcSsUKi3H6/CXlszcn53NyNlA+u7NLvv/+F1bOLX1zzXLl\ny7d8KampZX+eALHLuSsr5bM35bMvJ2cD5RNDxQoRERHxi3r1IK5G6ZprlltLb4PN4+vT+L8rj6HZ\noiIiIvannhUiIiLiP7Nnw9VXm+2//x0+/jjgL+lp2JCwHTsAaMk6Fm1pSePGAX9ZERER8UE9K0RE\nRMR69gT5ygogLF/filasY/XqoLysiIiIBJCKFRbj9PlLymdvTs7n5GygfHZnq3y7S79sabnz5etb\n0ZpUSxUrbHXuykD57E357MvJ2UD5xFCxQkRERPxnT+kbbJbbSVdWrFoVnJcVERGRwFHPChERESm3\n1FS49FJ4M+MqLs34wBx891249trAv/jCheByAfAVPbi19Vf8+mvgX1ZEREQK89d79kg/jEVEREQq\nuD/+gO3bIZoQXFmRbxpI56rrmD49OC8rIiIigaNpIBbj9PlLymdvTs7n5GygfHZnh3wHDpjvdSl9\ng81y52vYEE47DYDTDu2jc5N95Xs+P7LDuSsP5bM35bMvJ2cD5RNDxQoREREpt/R0870epW+wWW7h\n4QX6VrBuXXBeV0RERAJGPStERESk3F59Fe68LYssos2BiAg4etQUEoLhuutg5kyz/cYbcPPNwXld\nERERKcBf79l1ZYWIiIiU24EDJ00BqVMneIUKKNC3gtTU4L2uiIiIBISKFRbj9PlLymdvTs7n5Gyg\nfHZnh3yJibB8Ttmaa/oln0Wngdjh3JWH8tmb8tmXk7OB8omhYoWIiIiUW0wM1I8sfXNNv8l3ZcX2\nz1Np3Bh27AjuEERERMR/1LNCRERE/GPqVBgyxGzfcANBXUP08GGoWhWAY0RShb+Y82kl+vYN3hBE\nREREPStERETEItxucLlg4mNlmwbiFzEx0KgRAJU4TixprF4d3CGIiIiI/6hYYTFOn7+kfPbm5HxO\nzgbKZ3dWzud2Q1ISLFwIhzd5ly399c+STwPxW758U0Fasc4SxQornzt/UD57Uz77cnI2UD4xVKwQ\nERGRMktOhrQ0s51/NZBPvwvylRVQoMlma1ItUawQERGRslHPChERESmz+HhYutRsz8eFi4UA3NvO\nzTM/Xx7cwUyYAHfcAcCbDGFE1JscPAhRUcEdhoiISEWmnhUiIiIScpUre7fr4Z0G8lfV0F5ZcU37\nVPbvV6FCRETErlSssBinz19SPntzcj4nZwPlszsr50tMhCZNzHb+aSD//FfJixWB6FlRbXsqVWNC\nfyWmlc+dPyifvSmffTk5GyifGCpWiIiISJklJMCwYRBGToFixSUDQnBlRYMGZlUQgD//hH37gj8G\nERER8Qv1rBAREZFymTIFRt28n/3UNgeqV4f09NAMpnNn+OEHs71sGVx0UWjGISIiUkGpZ4WIiIhY\nwu+/F5wCQr2SL1vqd/n6VrBuXejGISIiIuWiYoXFOH3+kvLZm5PzOTkbKJ/dWT3f/ffDd3O9zTWp\nW7opIH7Nl69vBampZGRAVpb/nr60rH7uykv57E357MvJ2UD5xFCxQkRERMot5rD1rqz4/JV11Kjh\nXVpVRERE7EM9K0RERKT8UlLM0iAAw4fDq6+GZhyrVkHHjgBsoAUt2cBzz8GoUaEZjoiISEWjnhUi\nIiJiHXvyXVlRymkgfhUXB2FhADRjE1FksXp16IYjIiIiZaNihcU4ff6S8tmbk/M5ORson91ZPp/b\nDVOnevf37i3Vw/2ar0oVaNwYgEiyiSWNVav89/SlZflzV07KZ2/KZ19OzgbKJ4aKFSIiIlJmmbPd\n5CQmwfbt3oMffmgKGKGSr8lmK9bx669w9GjohiMiIiKlp54VIiIiUmbb27louHZh4RtcLpg/P/gD\nAkhKguRkAEYzlnebjmbJEmjSJDTDERERqUhC1rMiK5Trf4mIiIilHDtUxN8FmZnBHUh++a6sGDMg\nlU2bVKgQERGxm2KLFQMGDCAjI4Ps7Gy6detGXFwcb775ZjDGViE5ff6S8tmbk/M5ORson91ZOd/B\no5V93xAdXeLn8Hu+fMuXRv22zr/PXUpWPnf+oHz2pnz25eRsoHxiFFus+OWXX6hevToffvghnTt3\nZv369bzxxhvBGJuIiIhY3NunJ7KFRgUPxsbCyJGhGRAUuLKC1FTQ9FERERHbKbZnxQUXXMDnn3/O\ngAEDuPfee+nevTsdOnRgdYjWAVPPChEREeto1Ahu334v9/GsOVC7tlkZJCEhdIPyeKB6dTh0yOzv\n2gX16oVuPCIiIhVI0HpWjBw5knPPPZdq1arRvXt3Nm/eTI0aNcr9wiIiImJv2dkQFgbHqeQ9eMst\noS1UgBnUyVdXiIiIiK2csliRk5NDREQEqampTJ8+HYAmTZqwePHioAyuInL6/CXlszcn53NyNlA+\nu7NqvogI2LoVRifku9qyfftSP09A8uXrW5G1eh3LlxdcXTVYrHru/EX57E357MvJ2UD5xDhlsSI8\nPJxnnnmmwCUcYWFhREZGBnxgIiIiYg8Ra3/27nToELqB5JfvyooJiamcfz68/34IxyMiIiKlUmzP\niscee4yDBw8yaNAg6tevn3e8Vq1aAR+cL+pZISIiYiEZGZA7PTQyEg4fhqio0I4JYNYsuOYaANxc\nTj/cDB4MU6aEdlgiIiJO56/37MVeIvHmm28SFhbGrFmzChzftGlTuV9cREREbG7NGu92mzbWKFRA\ngWkgrTE9K1atCtVgREREpLSKbbC5efNmNm3aVOhLAsPp85eUz96cnM/J2UD57M7S+VaXr18FBChf\nXJxptAk0ZTOVyWTtWjh+3P8vdSqWPnd+oHz2pnz25eRsoHxiFFusyMrKYubMmdx+++0AbNiwgblz\n5wZ8YCIiImJtGzZA1ncW7FcBEB0NTZsCEEEOLdjI0aOwfn1ohyUiIiIlU2zPivvuuw+Px8PcuXNZ\nu3Ythw8fpnv37qwK0bWU6lkhIiJiDQ0awLs7L+IivjIH3G64/PLQDiq/yy+HefMAGFbrfXZccDVj\nx1qrpiIiIuI0/nrPXuyVFYsXL+aZZ54h6sQc1JiYGBULREREKrisLNi500N7LHplBRToWzHp7nXM\nnWu9IYqIiIhvxRYrWrVqRXp6et7+t99+S6dOnQI6qIrM6fOXlM/enJzPydlA+ezOivm2boVGbKMm\nJ/5GOP10c6lFGQQsX77lS0lNDcxrFMOK586flM/elM++nJwNlE+MYlcDGTlyJFdeeSXbt2/n4osv\nZvfu3bz99tvBGJuIiIhY1ObNFLyqon37vIaWlpHvygrWrQvdOERERKTUiu1Zkev7778nJyeHLl26\nBHpMp6SeFSIiIqH3+uvw27+e4inuNwfuuANSUkI7qJPt2gVnnWW2q1WD9HTrFVREREQcJmg9K776\n6isOHTpE586d2b17N2PHjuWPP/445WOWLVtGmzZtiIuLI6WIP1xGjx5N8+bN6dy5M6n5Ls08fPgw\ngwYNomXLlrRt25Zvv/22lJFEREQk0MLD4YKqJ11ZYTX16kH16mb74EFTvBARERFbKLZYMWLECGJi\nYti0aROjR48mPDycW2+99ZSPSUpKYtKkSSxatIgJEyawb9++ArevWLGCL7/8ku+++45Ro0YxatSo\nvNseeeQRGjduzOrVq1m9ejVt2rQpYzR7cvr8JeWzNyfnc3I2UD67s2K+W26BvzdZ7T1Qjs6VAcsX\nFlagb8W6OalMmQLLlgXm5Xyx4rnzJ+WzN+WzLydnA+UTo9hiRWRkJGFhYUyZMoXbbruN++67j82b\nNxd5/9xmnD179qRJkyb06dOH5cuXF7jP8uXLufrqq6lVqxYDBgzg119/zbtt0aJF3H///URHRxMZ\nGUmNGjXKGE1EREQCJiurYB+Is88O3VhOJV+x4sXh67j5Zpg2LYTjERERkRIptsFm06ZNeeihh3j/\n/fdZvnw52dnZHD16tMj7r1y5ktb5/jDIncqRkJCQd2zFihUMHDgwb79OnTr89ttvREVFkZmZyYgR\nI/j111/p378/SUlJREdHF3iNwYMH07RpUwBq1qxJx44diY+PB7xVKrvu5x6zyniUT/kqSr74+HhL\njUf5lM/y+aZPh+PHiQdo3pwl339vzXwnmmwuASJZBAxn9WoL/PfTvva1r/1y7ueyyniUr+Lm++mn\nnzhw4ADAKS9sKK1iG2wePnyY9957j44dO9KpUye2bt3K4sWLGTRokM/7L1q0iDfeeIN33nkHgIkT\nJ7Jjxw4ef/zxvPvceOONDBw4EJfLBcD555/PjBkzyMnJoWXLlnz88cf07t2bYcOG0bt3b2666Sbv\ngNVgU0REJPSmT4fcDx7+8Q/46KPQjqcoH3wAV10FwDwu43LmcdpppoVFRESIxyYiIuJAQWuwGRMT\nw5AhQ+jUqRMAjRs3LrJQAdClS5cCDTPXrl3L+eefX+A+3bp145dffsnb37t3L82bN6dFixa0atWK\nK664gtNOO40BAwYwb968Uoeys5MrbU6jfPbm5HxOzgbKZ3eWzLfaP/0qIMD58i1fenaE+fvkyBHY\nuDFwL5mfJc+dHymfvSmffTk5GyifGMUWK6pWrUq1atWoVq0aUVFRhIeHUz23s7YPuT0mli1bxubN\nm/nss8/o1q1bgft069aN2bNns3//fmbMmFGgiWZcXBzLly8nJycHt9tN7969y5pNREREAuD33+HA\nlxZfCSRXixZm6RKgYfYWojkCwJQpoRyUiIiIFKfYaSD5/fXXX0ybNo1du3bx6KOPFnm/pUuXMnz4\ncI4dO0ZiYiKJiYlMmjQJgGHDhgFw3333MXPmTGrVqsX06dPzChbr16/npptuIjMzk969ezNmzBhi\nYmK8A9Y0EBERkZCaNAn6DW9AA3aaA6mpBa5gsJrD9VsQ83saAB1Yxc90oGFDmDgR8rXUEhERET/w\n13v2UhUrcrVt27bANI5gUrFCREQktB6/cz8Pja8NwLHIaCplHrJ0A4jldfrRbZ8bgP9jJu/zfwC4\nXDB/fihHJiIi4jxB61kxe/bsvK8ZM2YwbNgwOnbsWO4XFt+cPn9J+ezNyfmcnA2Uz+6sls/zs3cK\nSHrDs8tdqAh0vs3R3qs+WuFdbjUzM6AvC1jv3Pmb8tmb8tmXk7OB8olR7NKln3zyCWFhYQBER0fT\no0cP+vXrF/CBiYiIiDVVTfM21zze2sL9Kk7YWd27pHprvE3AT1oZXURERCykTNNAQknTQEREREJr\nepVbufHIZAD+eGgctR67K8QjOrX/PbOMC+7rBcB3dKYL3xEbC+PHq2eFiIiIvwVtGoiIiIhIrpwc\n6FLZe2VFjR7Wv7LigiHeKyvaRqzD1cfD+PHwt79BRkYIByYiIiJFUrHCYpw+f0n57M3J+ZycDZTP\n7qyUL5wcWh1dk7cf0alDuZ8z4Pnq1IHTTwegSvYhJj68k0WLoEEDePHFwL60lc5dICifvSmffTk5\nGyifGCpWiIiISMn99hv89ZfZrlvXfFldWFiBpVU3zU/lpZfgzz9h8mQ4fjyEYxMRERGfStyzYvXq\n1Tz11FMcOnSIO++8k0suuSTQY/NJPStERERC6MMPoX9/s927N3z2WWjHU1JDhsDUqQAcHz+B+k/c\nxt695qY5c+CKK0I3NBEREScJeM+KXbt2Fdh/8cUXefXVV5k+fToPPPBAuV9YREREbGi1t18F7a3f\nryJPvisrIjemcvPN3psmTQrBeEREROSUiixWDB8+nMcee4zME4uQn3nmmbz77rvMnDmTuna45NOm\nnD5/Sfnszcn5nJwNlM/uLJXv55+92x3K368CgpSvtbfJJuvWceut3t1PP4UtWwLzspY6dwGgfPam\nfPbl5GygfGIUWaz46KOP6NSpE/369WPatGk88sgjnHXWWVSpUoXp06cHc4wiIiJiEYf+572yIrut\nPa+sIDWV2Fi49FLTzuLyy+Hw4dANTURERAortmdFdnY2EyZMYO7cuTz44IP07NkzWGPzST0rRERE\nQuSvv8iJqUo4HrIJZ+e6QzRqeVqoR1UyR49ClSqQnW32Dx1izaYYqleHxo1DOzQREREnCXjPii++\n+IJ//vOfXHfddVxwwQXMnDmTjz76iGuvvZa0tLRyv7CIiIjYS+YPawnH/PGxgTjOam6TQgVAVBQ0\nb+7d37CBdu1UqBAREbGqIosVDzzwANOmTSM5OZnRo0dz+umnM27cOJ544gnuv//+YI6xQnH6/CXl\nszcn53NyNlA+u7NKvj+XevtVpMV0IDLSP88blHxuNxw44N2fMSPwr4l1zl2gKJ+9KZ99OTkbKJ8Y\nRf6ZUbduXd577z0yMjJo0qRJ3vG4uDhmzpwZlMGJiIiIdWSt9Par2F3XRv0q3G5ISiJvrVKAyZOh\nVy9ISAjduERERKRIRfasyMjI4JNPPiE6Opq+fftSpUqVYI/NJ/WsEBERCY3trS+h4bovAEi55CNG\nLvpHiEdUQi4XLFzo+/j8+QUOHTsGlSoFaVwiIiIO5K/37EVeWVG9enVuuOGGcr+AiIiIOIDHQ53f\nvVdWxJxvoysrsrJ8Hz+xPLvHA199BZMmwZdfwoYNpsWFiIiIhE6RPSskNJw+f0n57M3J+ZycDZTP\n7iyRb/duKmfsM9tVq3LzY0399tQBz1e5su/jOTl5366/Hv77X9i6FT780H8vbYlzF0DKZ2/KZ19O\nzgbKJ4aKFSIiIlK81d6rKmjXDsJt9CdEYiLExhY+Xq0aABERcOut3sOTJgVpXCIiIlKkIntWWJV6\nVoiIiITACy/AqFFm+1//st87ercbUlJg1y5YtcocO+00cylF7drs2AFNmkB2trkpNRVatQrdcEVE\nROzKX+/ZbfSxiIiIiIRM/isr2tuoX0WuhATTTPPHH6FTJ3PsyBF45RUAGjSAK67w3v2110IwRhER\nEcmjYoXFOH3+kvLZm5PzOTkbKJ/dWSLfzz97tzt08OtTBzVfWJj3ChGAl182RQtg2DBzKDo6r51F\nuVni3AWQ8tmb8tmXk7OB8omhYoWIiIic2vHj5Kz9JW93W00bXlmR3zXXQOPGZnvvXpg2DYA+fWDi\nRNi5E158MYTjExEREfWsEBERkWL8+iu0bQvANhoy5pZtTJ4c4jGV14svwt13m+24ONOkwk5NQ0VE\nRCxKPStEREQkOPL1q/iZ9jRtGrqh+M3QoVCjhtnesAHmzAnteERERKQAFSssxunzl5TP3pycz8nZ\nQPnsLuT58vWrWE0HvxcrQpKvWjUYPty7//zzAXmZkJ+7AFM+e1M++3JyNlA+MVSsEBERkVNztBn5\n7wAAIABJREFU4pUVAImJUKmS2f76a/jf/0I7HhEREcmjnhUiIiJyas2awebNALRnNfO3t6dBg9AO\nyW+GDIGpU812//4wezYAx4/D3LkwaRJcey0MHhyyEYqIiNiKv96zq1ghIiIiRcvIyOvtcDy8Eq7u\nh/hsaZRzelGuWQPtT6xuEhYG69ZBXBwpKebCC4CuXWH58tANUURExE7UYNOhnD5/Sfnszcn5nJwN\nlM/uQppvzZq8zcizW/P5l/4vVIQ0X7t2cNllZtvjyVuzdMAAiIoyh1esgJ9+KtvT69+mvSmfvTk5\nn5OzgfKJoWKFiIiIFC1fvwo6dAjdOALpP//xbk+ZAnv3Urs2XHWV9/CkScEfloiISEWmaSAiIiJS\ntNtvh1deMdtPPw333hva8QSCxwOdO8OPP5r9Rx+FRx5h2TLo1cscqloVdu40i4iIiIhI0TQNRERE\nRAKvIlxZERZW8OqKl1+GI0e46CJo2NAcysyESy8Ftzs0QxQREaloVKywGKfPX1I+e3NyPidnA+Wz\nu5Dl83jg55+9+7mNKP3MEufv6quhcWOzvW8fvPUWn35qVgUB8335ckhKKl3BwhLZAkj57E357MvJ\n2UD5xFCxQkRERHzbtg3S0wHIrHI6H61swOHDIR5ToFSqBHfe6d0fN46Xx2eza1fBu6WlQUpKcIcm\nIiJSEalnhYiIiPjmdkO/fgAspSfxLGXHDqhfP8TjCpSDB6FRo7wCzYNnf8CTa68sdLdevUAfiomI\niPimnhUiIiISWPn6VaymA1FRcOaZIRxPoFWrBsOH5+0O2PG8z7tFRwdrQCIiIhWXihUW4/T5S8pn\nb07O5+RsoHx2F7J8+fpV/Ex7mjSB8AD85WCp85eYaKaEAGcf+IarG3xT4ObYWLjjjpI/naWyBYDy\n2Zvy2ZeTs4HyiREZ6gGIiIiIRZ10ZUXTpqEbStDUrw833ABTpwKQ3Ph5Drb7gMxMiIqCli3hwQfh\nggvgjDNCO1QREREnU88KERERKSwrC6pWzVsOoxoZXP+vakyaFOJxBcOaNd6VT8LCYN06iIvjsstg\nwQJz+OGHYcyY0A1RRETEqtSzQkRERAInNTWvUPHn6c259pZqxMeHdkhB064d9O1rtj0eGDcOgEGD\nvHdJTjb9OEVERCQwVKywGKfPX1I+e3NyPidnA+Wzu5Dky9ev4vSe7Zk8GQYMCMxLWfL8jRrl3Z46\nFfbu5ZprTM8KgAMH4NVXi38aS2bzI+WzN+WzLydnA+UTQ8UKERERKSxfvwo6dAjdOELl4ouhUyez\nnZkJEyYQGQn33ee9y7hxcORIaIYnIiLidOpZISIiIoX17Qvz55vt996Da64J7XhC4Z134PrrzXbt\n2rBlC0cjqxAbC9u3mxrOrFkQFxfaYYqIiFiJv96zq1ghIiIihTVoADt3mu3UVGjVKrTjCYVjx8x/\nh717zX6bNvDcc8zOTCAqCvr1M/03RURExEsNNh3K6fOXlM/enJzPydlA+ewu6Pn27/cWKqKjoUWL\ngL6cZc/fwoWQk+Pd//VXSEriqmg3V1xRskKFZbP5ifLZm/LZl5OzgfKJoWKFiIiIFJSvueaWqmfz\n9HMRLF0awvGESnKyKdzkl5YGKSmhGY+IiEgFomkgIiIiUlBKCiQmAjCFwdzMFIYNg4kTQzyuYIuP\nx2eVpmdP38dFRERE00BEREQkQPKtBLIasxJI06YhGksoVa7s+/iWLYUOHT4M+ixFRETEf1SssBin\nz19SPntzcj4nZwPls7ug58s3DeRn2gOBLVZY9vwlJkJsbOHjW7bAvHkA/PknPPYYNG4Mn35a+K6W\nzeYnymdvymdfTs4GyidGZKgHICIiIhaSkwNr1uTtVugrKxISzPeUFMjMhLVrYd8+c2zQIFi9mrEv\nnMnzz5tDTz4Jl1+uFUJERET8QT0rRERExCstLW/1jz1hdann2Q3Arl1Qr14oB2YBe/dChw7mPwZA\nnz7smDyP5i3COXrUHPriC7j44tANUUREJNTUs0JERET8y+2Gq67K263U+Cyeew5GjoS6dUM4Lquo\nUwfeftt76cTChTSYOY7Bg713GTs2JCMTERFxHBUrLMbp85eUz96cnM/J2UD57C4o+dxuSEqCVavy\nDp1+YDOj2rhJTg7s1AZbnb/eveGee7z799/PQ32/I/zEX1SLFsGKFd6bbZWtDJTP3pTPvpycDZRP\nDBUrREREBJKTzRSQ/NLTTb8GKejxx6FLF7N97BgN/zOAIVcfBODSSyEqKoRjExERcQj1rBARERGI\nj4elSwsf79UL9AlQYWlp0KkTHDRFioz+g0i9dypdu4Z4XCIiIiGmnhUiIiLiP5Ur+z4eHR3ccdhF\nbCy88krebvUP3qLrxhkhHJCIiIizqFhhMU6fv6R89ubkfE7OBspnd0HJl5gIVasWPBYba7prBpht\nz9+NN8LAgd794cPht98K3MW22UpI+exN+ezLydlA+cRQsUJERESga1c4ciRvd33dHoxrMp5HVyaw\nb18Ix2V1EyaYog6YKSEDBsCxY6Edk4iIiAOoZ4WIiIjAuHHw73+b7QsuoOYv35CebnZ379bSpae0\nciV07w7Hj5v90aNh7Fh274bwcLPiqYiISEWhnhUiIiLiHx4PvP563u5f1w/NK1ScdprebBerSxd4\n8sm8Xc/TT5P8zy9o2rTAYRERESkFFSssxunzl5TP3pycz8nZQPnsLuD5vv4aUlPNdrVqbDz3//Ju\natoUwsIC+/KOOH+jRkHv3gCEeTxc/fGNxGTu49VXl7BnT4jHFkCOOHenoHz25uR8Ts4GyieGihUi\nIiIV3eTJ3u0BA/htj7fRZtOmwR+OLYWHw7RpULs2APX5nSkM4ehRD+efD253iMcnIiJiM+pZISIi\nUpEdOAD163uba65cyUtfncddd5ndESMKrNApxfn0U0hIyNvdQAvSaM57dRO56s2E/DeJiIg4kr/e\ns0f6YSwiIiJiV++84y1UnHMOdO7MNWdBixaweTOcfXZIR2c/l1/O13X+To+9cwCIYyNxbCR2TxrT\nHoYEVStERERKRNNALMbp85eUz96cnM/J2UD57C6g+fI11uTWWyEsjAYNoF8/uOMOuPjiwL10Lqed\nv6hjf+VtLznxPY40+m1KCcl4Aslp5+5kymdvTs7n5GygfGKoWCEiIlJR/fAD/Pij2Y6OhuuvD+14\nHCIq7JjP49VyMoI8EhEREftSzwoREZGKasQImDjRbA8caBpESrntOddF3R8XFjqeEx5J+NtvwYAB\ngV9iRUREJET89Z5dV1aIiIhURIcPw4wZ3v2hQ0M3Foep+3gih8+MLXQ8POc43HAD/N//wb59IRiZ\niIiIfahYYTFOn7+kfPbm5HxOzgbKZ3cByff++5BxYlpCy5Zw0UX+f40Sctz5S0ggZvJ4cLlYcs45\n0LUr1KnjvX3WLP5o0I5tE+eGbox+4rhzdxLlszcn53NyNlA+MVSsEBERqYgmT/ZuDx2aNy1h/nw4\n/3y47jqYOjU0Q3OEhATzH/Oll2D5ckhLK3D1Sq2ju2k04goOXXuLt2gkIiIiedSzQkREpKL55Rfv\nmqSRkbBjB9Sti9sNd98N69ebmxISYK79P/y3lHUvuqnx76Gc6dmVdyy7URMi3poSnKVXREREAkw9\nK0RERKRs3njDu/2Pf+QVKpKSvIUKgG+/Bbc7+MNzslZ3JbBu1hreC78271jEti3wt7/BnXfCkSMh\nHJ2IiIh1qFhhMU6fv6R89ubkfE7OBspnd37Nl5UFb73l3b/1VgCSk81Mhfz274eUFP+9dFGcfP58\nZevV/wwqzXqXAWHvsp9a3hvGj4e4ODMPJz4eXC7LV4ucfO5A+ezOyfmcnA2UT4zIUA9AREREguij\nj0wVAqBxY+jdGzA1DF8yM4M0rgrmyivh4NRraTeoJ583G0rbTZ+aG3bsMF+5citICQnBH6SIiEgI\nqWeFiIhIRXLppbBokdkeMwYefhgwH+IvXFj47i6X6RMpgbFyJZzX2UPYm2/AsGGQk1P4TjoJIiJi\nI+pZISIiIqXz22/eQkV4OAwZkndTYiLExha8e2wsjBwZxPFVQF26QFh4mFkppEsX33favTu4gxIR\nEbEAFSssxunzl5TP3pycz8nZQPnszm/53nzTu33ZZdCoUd5uQoJpmeByQa9e5vv48cGZfeDk81ea\nbHuO1vB53PPTTzB9up9G5F9OPnegfHbn5HxOzgbKJ4Z6VoiIiFQEx4/DlCne/aFDC90lIUGtEUIp\nmUQGkUYcBTudhgEMHAibNsGDD0JYWEjGJyIiEkzqWSEiIlIRfPIJ/P3vZrtePb7/eBv3PlCJ99+H\n008P7dDEiI+HKkvdjCSF0zCdTZuyiaZs9d5p8GCYNAmiokIyRhERkeL46z27rqwQERGpCF5/PW9z\nR5/BXOKqRHq6me7x2WdQw/cMBAmiypVhHgnMw3t5S3XS+aLmVXQ+8Lk5MHUqbNsGs2ZBzZqhGaiI\niEgQqGeFxTh9/pLy2ZuT8zk5Gyif3ZU7344d4Hbn7SbMvoX0dLO9cSNs3VrE44LEyeevNNl8NTnN\noAaj2n5aoBkqn38OF14IW7b4Z5Dl4ORzB8pnd07O5+RsoHxiqFghIiLidFOn5i2JuTQ8nlV/xQFQ\npw4sXgzt24duaOKVv8lpx47e40u+iWLxjW/A4497D65dC+efD99/H/yBioiIBIF6VoiIiDhZTg60\naGGaMwLX81/e4XrOPNN8QN+2bYjHJ0W68UaYPdv01Bw1ykwTYfp0uPlmOHbM3KlKFXj3XbjiipCO\nVUREJJe/3rOrWCEiIuJkixbBpZcC4Dn9dIb23cmCpdF88QW0bBnisckp7d4Nf/0FzZqddMPSpXDl\nlfDnn2Y/PNxcknHHHUEfo4iIyMn89Z49INNAli1bRps2bYiLiyMlJcXnfUaPHk3z5s3p3Lkzqamp\nBW7Lzs6mU6dOXFEBPyVw+vwl5bM3J+dzcjZQPrsrbT6320wliI+HJQMn5x0PGziQ16ZFs2KFtQoV\nTj5/5clWr56PQgVAr17wzTfeG3NyYORIaNrUnHSXq0CPkkBy8rkD5bM7J+dzcjZQPjECshpIUlIS\nkyZNokmTJrhcLgYMGEDt2rXzbl+xYgVffvkl3333HQsWLGDUqFHMnTs37/bx48fTtm1bDh48GIjh\niYiIOJbbDUlJkJYGZ7CPC/jQe+PQoUREQP36oRuf+Enr1vDtt2b6x4oV5tiWLd6mm2lp5ntCgu/H\ni4iIWJzfp4Gkp6cTHx/Pjz/+CEBiYiIul4uEfP+zTElJITs7mzvvvBOA2NhY0k78T3X79u0MHjyY\nBx54gHHjxvHJJ58UHLCmgYiIiBTJ5YKIhW4SSaYFabTA/P/11xrdaHPg2xCPTvwud57Inj2Fb3O5\nYP784I9JREQqNH+9Z/f7lRUrV66kdevWeftt27bl22+/LVCsWLFiBQMHDszbr1OnDr/99hvNmzfn\nrrvu4rnnniMjI6PI1xg8eDBNmzYFoGbNmnTs2JH4+HjAe0mN9rWvfe1rX/sVcb/jjsMMJYkdpLEd\naIHxXmR9ei1ZEvLxab/s+x4P/PFHPCkpMHr0EipXPnF7mzYsOVGsMPeGJQA7d3r3LTB+7Wtf+9rX\nvjP3f/rpJw4cOADA5s2b8RuPn3322Wee6667Lm//1Vdf9Tz44IMF7nPDDTd45s+fn7ffrVs3T1pa\nmueTTz7x3HbbbR6Px+NZvHixp1+/foWePwBDtpTFixeHeggBpXz25uR8Ts7m8Sif3ZUm31dV+3g8\nUOjr+1q9AzfAcnLy+fNnthtu8J7Shx7Kd0Mf3+fcc8YZHk9Wlt9e3xcnnzuPR/nszsn5nJzN41E+\nu/PXe/Zw/5U9jC5duhRomLl27VrOP//8Avfp1q0bv/zyS97+3r17ad68Od988w1z5syhWbNmDBgw\ngC+++IKbbrrJ30MUERFxpFmz4NihLJ+3NWlwLMijEX/r2dO7/cwzsGHDiZ3ERIiNLfyA/fthyBDT\ngFNERMRmArJ0aadOnRg/fjyNGzfmsssu46uvvirUYPPuu+/m448/ZsGCBcyYMaNAg02ApUuX8vzz\nz6tnhYiISAl8/z0kdNvHiuxONGZ74Tuof4Ht5eTABRd4+2m6XDBvHoSFYTqrpqRAZibs2AEbN3of\n+O9/w/PPh2TMIiJS8Vi2ZwXASy+9xLBhwzh27BiJiYnUrl2bSZMmATBs2DC6du3KhRdeyHnnnUet\nWrWYPn26z+cJCwsLxPBERESc5dgxOn35CmkRjxKTfaDw7bGxZmlLsbXwcHjlFejSxczzWLAAPvgA\nrroKs+pHbn8wjwduvx1efdXsv/CCWQLm7rtDNnYREZHS8vs0EIBevXrx66+/snHjRhITEwFTpBg2\nbFjefZ5++mk2bdrE999/T5s2bXw+x5w5cwIxPEvLbVjiVMpnb07O5+RsoHx2d8p8CxZAhw6E33Un\nMUfzFSrOOMO8q3W5YPx4Sy9h6eTz5+9snTvDbbeZ7bg4c5oLCQszV1n07+899u9/wzvv+HUs4Oxz\nB8pnd07O5+RsoHxiBOTKChEREQmw9evNG9CTplHSogWMGwf9+p2YHyBO88QT0KSJaVVRuXIRd4qI\ngOnToU8f+Oorc2zQIKhTB3r3DtpYRUREyiogPSsCST0rRESkwnC7ITkZsrLMu9LERLjwQnjiCTzj\nxxN2LF/TzGrV4KGHinkHKxXOn3/CRRfB2rVmv2pVWLYMOnUK7bhERMSx/PWeXcUKERERK3K7ISkJ\n0tK8x+rUgaNHIT3deywszKz48OSTcOaZwR+nWN+2bdC9O2w/0Xi1Xj343/+gWbPQjktERBzJX+/Z\nA9KzQsrO6fOXlM/enJzPydlA+WwpOTmvULEk99jevQUKFT+c1p1981bAG2/YulDhyPN3giWyNWpk\nVoKpWdPs795tepns3Vvup7ZEvgBSPntzcj4nZwPlE0PFChERESvKyirypm00ZAAzSKj+FX82Py+I\ngxKrOnQIHn204EU3BZx9NnzyiXeK0IYNpunqoUPBGqKIiEipaBqIiIiIFblcsHBhocMbiKUjq6ha\nN4alS6F16xCMTSzl00/hpptg/35o0MDUJRITi1gA5sMP4eqrISfH7PftCx9/DJUqBXXMIiLiXJoG\nIiIi4lQeD7+nRxc6vJnGJDGeKrVj+OILFSrEWLrUFCoAduwwNa6kJNP2pJArr4QJE7z78+ZB06YQ\nH28KZD4fJCIiEnwqVliM0+cvKZ+9OTmfk7OB8tmKxwOJiZy1fE7eoY+owQIu5TZe4bPIBBYtMp+e\nO4Wjzt9JgpHtp58KH0tLg5SUIh4wfLhZOSbXzp2m4nHKKodvTj53oHx25+R8Ts4GyieGihUiIiJW\nkZMDt98OL7+cd2gWV3E1s7iMhcwjgfPOg3POCeEYxXKKam+SmVn4WN5VuWPGmDkjJztllUNERCR4\n1LNCRETECnJyzCfer7+ed+hdrmUgb3Mcbz8Bl8ss7CCSq4j2Jj7/rcTFQVSU+f7kV704e/+yQo/L\naNKO6uu/N3cUEREpJfWsEBERcYrsbBg6tEChYkev63mk+fQChYrYWBg5MhQDFCtLTDT/NvLz9W/l\nr79g40b45RfTU3Pb/sJ9UQCqb1kD9evDiBHw5ZfeZpwiIiJBpGKFxTh9/pLy2ZuT8zk5GyifpWVn\nw803w5Qp3mMDB3JwwjQefyoSlwvOOWcJLheMH1/ECg82Z+vzV4xgZEtIMP82XC7o1QsuvdT3v5Xf\nfiu4n0wiGzipypFr/36YOBF69oRmzWD0aPj5Z+/tbje4XCzp2NHRjTmd/G8TlM/OnJwNlE+MyFAP\nQEREpMI6fhwGDYIZM7zHhgzB89rrDOgSwZYtcPfdcO65cPnloRumWF9CQvGFrHbt4MAB2LDBfD30\nUAJJaTCSFE4jk0iOsZP6xEcvp27mNu8Dt26Fp582X+3bm3+QS5bAli3e+6SleQciIiLiB+pZISIi\nEgrHj8ONN8LMmd5jt94KEyfy4cfh9O9vDlWpAps2Qd26oRmmOJfbbRb/yK0zgJk+Mv7FHBJqfg3/\n/S+8/z788UfJnlANVUREBP+9Z9eVFSIiIsF27Bhcfz3MmuU9NmIEvPwyOYTz6KPew7ffrkKFBEbu\nRRApKWblkOho0+ciISGcv/66iCoXXQTJybBggSlczJkDR44U/YS+lh8REREpI/WssBinz19SPntz\ncj4nZwPlC7kT8/uJjzcNBXr2LFioGDkSJkyA8HA++ghWrzaHq1SBUaNskK+cnJzP6tkSEszFEEuW\nmO99+8Kbb5o2FYsWYVYEueIKePdd2L0bpk2DM87Ie/yS/E/2yy+m14WDWP38lZfy2ZeTs4HyiaEr\nK0RERALJ17X2+d15J4wbB2FheDwwZoz3pjvuMFdV/PJLcIYq8thj3n+DiYmwahVUyl2Qplo1GDgQ\natUy/zg3by744L17oWNHU9jo0SOYwxYREQdSzwoREZFAcrlg4ULft40aBc8+C2FheYe++QYefdR8\n37QJ6tQJzjBFAH7/HVq2hEOHzP6LL5p6WiFut5k/cuSIabSZv9lmRAQ8/jjcey+E6yJeEZGKxl/v\n2VWsEBERCRSPBzp3hh9/LHxb48bmk+l8hYr8tm2DRo0COzwRX557Du65x2xXrw7r10O9esU8aM4c\nGDwY/vzTe6xPH3j7bTVdERGpYPz1nl3lbotx+vwl5bM3J+dzcjZQvqDbsweefx7atvVdqABo06bI\nQgUULFRYLp+fOTmfHbMlJZmrKwAyMmD06KLvm5fv73+Hn36C7t29Ny5cCOecA4sXB2ysgWbH81ca\nymdfTs4GyieGihUiIiL+kJ0N8+bBVVdBgwbwn/9Aaqrv+8bGmqaaIhYUFQXjx5vtjh3h5ptL+MDG\njU2nzvvu8x7btQsuucTMbcrO9vNIRUTEyTQNREREpKTcbrOUY1YWVK5sOhCefbZZPmHKFNi+vfBj\nqlY1zQbT081jvOtDBn/8IqXgdsNll5kWFKW2YIFpxrl3r/dYfLxZArV+fX8NUURELEg9K0RERILJ\n16oep51mGgz60r07DB0K11xjChZFyM6Gp54yn17rPZw4ys6dcMMN5mqLXNWrQ4sWZmWR3IKfCnci\nIo6inhUO5fT5S8pnb07O5+RsoHx+kZxcePnRkwsVtWvDv/9t1hr9+msYMuSUhQqAWbPgoYegeXN4\n4AHf99H5sy8nZ4Ni8tWvD4sWmSkguf1ZMjLghx9g6VLT0yIpyRQCLapCnz8HcHI+J2cD5RNDxQoR\nEZHiHDlSuFCR32WXmarDjh2msWabNiV62uxsGDPGbGdlnbLfpog9RUTAI4/A55+bZhgnS0szS6CK\niIicRNNAREREipKVBa+/DmPHwu+/+7zLvna9qP3zkjI9/TvvwPXXm+1q1cxKprVqlW2oIoH2xx+m\n7jB8uGnVUmo9esA33xQ+3rFj0avmiIiI7WgaiIiISKAcOwavvQZxcaYZZhGFio3EMj7qP2V6iexs\neOwx735SkgoVYl1z55rlTF9+2fxbLdPfoEVNifrpJ3jppTI+qYiIOJWKFRbj9PlLymdvTs7n5Gyg\nfCV2/Di89Ra0agXDhsG2bXk37Y2qzwRGsIBLWUIv5uEikfF8mJVQpvdYy5fD+vVmu3p1uOuuou+r\n82dfTsnWpAkcOGC2P/8cPvjAbJcqX2KiWbbXl7vughtvhMOHyzVOf3PK+SuK8tmXk7OB8okRGeoB\niIiIBN3JS5DecQccOmQaAeZWEHLVrQv33cfN7uHM/fy0ws+1Fv75T/OJc6NGJR9C9+6wdi08/rj5\nxFpXVYiVtW8Pt93mbS9x993Qt28pnyR31Y+UFMjMNNu//+79mZsxA9asMZWQoooapeRrtWEtPiIi\nYg/qWSEiIhWLryVIK1UyUz/yq1UL7rnHFDJiYnw+LL+qVeGJJ8zdIyJKNySPR801xfr+/NMU1vbt\nM/uPPGLqe6VxcvHgzhFZ9J2XaKZd5apZ0xQuSl0NKfxaJ//MxsbC+PEqWIiIBJK/3rOrWCEiIhXL\npZea5RSLUr26WX70zjvNNmZmSFYWNGjg/VA4IsLUOBYsKPjw88+HZcvMbSJOM3ky3Hqr2R4xAl55\npeSPPWXx4PfJcPvtcPSouSEszCyV88ADEF62Wcsul1kd1dfx+fPL9JQiIlICarDpUE6fv6R89ubk\nfE7OBg7O53aDy8WSjh3NOxC3u/B9srJg6VLzEXCvXmbCvS/h4eaN0ebN8PDDeYWKr782b86GDTNv\ncD75BJYsMU8zfz58+WXBlUq7dvV/ocKx5+8EJ+dzWrYhQ+Dmm80KvWlp0LHjkiJ/9E6WnFz4yqS8\nlUuHDjU/TA0bmhs8HvNz+M9/Qnp6mcaaleX7eO4MlJJw2vk7mfLZl5OzgfKJoZ4VIiJiT74+pk1L\nM9M56tSBxYvN1zfflOzdSa9eZh5HPlu3Qv/+3hkiS5eaN0D5ixEXXmhWXXz2WZg2rdBTiDhKRIT5\nmfD1owemZrhuHfzwA6xeDc88470woqjiwZEjJza6doXvv4drrzUVQTDVwS5d4MMPS71eauXK0Bc3\niSQTTRaZVCaZRHKiNQdERMQONA1ERETsqahrvMPDISfn1I89uUeFj4nshw9Djx6wapXZr10bVq6E\npk2LftqjRyEqqvBxtxtefBF27DDz/h95xFxCL2JHRf3o1ahhfgbyig+YwkXLlqd+XMuW5n55jh+H\n++6DF17wHqtc2azSc/rpJe6UufxhN2c8nkQLvFWVzZGx7HlgPF0fVcFCRCRQ/PWeXVdWiIiIvRw9\nCt99Bxs2+L7dV6GiRQu4+GLzFR9vPvbNbT4RHQ0jRxZ64zNypLdQERkJs2efulABRRcq/vUv2LnT\ne+y228yqqGPHnvr5RKyoqCskfM3W+OEHb7EiMdFcgXHyVJDNm2HTJmjW7MSByEgzz+Rb4XY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mhhOQRcueL8Yn4+sGWL9j7PnnV6mFMpHHMLHsB0PIHDeyLx7TWHxpciLBbXDRVnzgAPPQTExanp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\nr7CxgoiIiIiIiIj8yv8DtWrc8nU9FnQAAAAASUVORK5CYII=\n"
}
],
"prompt_number": 83
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bucket_duration = 300\n",
"t1, cts1 = get_mention_aligned_ts(userMentions, userRTs, bucket_duration, bucket_agg_duration = 1200)\n",
"t2, cts2 = get_mention_aligned_ts(userMentions_control, userRTs_control, bucket_duration, bucket_agg_duration = 1200)\n",
"cts1 = np.array(cts1, dtype=float); cts1 = cts1/np.sum(cts1)\n",
"cts2 = np.array(cts2, dtype=float); cts2 = cts2/np.sum(cts2)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 87
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ts, cts = [t1,t2], [cts1,cts2]\n",
"x_ticks = np.array(range(-10800,10800+bucket_duration*4, bucket_duration*4))\n",
"ts_names = ['just had <sugar>', 'just had <something else>']\n",
"markers = ['b--.', '-r.']\n",
"tsplot.plot_timeseries(ts, cts, format_time_func=tsplot.format_hour_min_delta, x_ticks=x_ticks, ts_names = ts_names, plot_title = 'Retweets around mention (20 mins bins)', y_label = 'counts / volume', markers = markers, filename='./results/rts_around_sugar_20min_bins.eps', lw=3, markersize=12)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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hUjhaw0JEREREREREbjgqWLghO8y1y4/yWZud89k5Gyif1Smfddk5Gyif1Smf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B07BkuX+goUK1bk/ySrMPXqme3sRozw3rRsmflw7OTfJSMizCSN+vUDPHYRETmzOI4ppHuKF0uX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\nYII=\n"
}
],
"prompt_number": 88
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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