[+] Implement friends-chain
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@@ -1,5 +1,6 @@
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import json
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import math
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import random
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from dataclasses import dataclass
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from datetime import datetime
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from pathlib import Path
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@@ -119,19 +120,21 @@ def download_user_tweets(api: API, screen_name: str) -> None:
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f.write(json_stringify(postings))
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def download_users(start_point: str, n: float = math.inf, rate_limit: int = 10) -> None:
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def download_users(start_point: str, n: float = math.inf,
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base_dir: str = '/data/twitter/user/',
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rate_limit: int = 10) -> None:
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"""
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This function downloads n twitter users by using a followings-chain.
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This function downloads n twitter users by using a friends-chain.
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Since there isn't an API or a database with all twitter users, we can't obtain a strict list
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of all twitter users, nor can we obtain a list of strictly random or most popular twitter
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users. Therefore, we use the method of follows chaining: we start from a specific individual,
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obtain their followers, and pick 6 random individuals from the followings list. Then, we repeat
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the process for the selected followings: we pick 6 random followings of the 6 random followings
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obtain their followers, and pick 6 random individuals from the friends list. Then, we repeat
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the process for the selected friends: we pick 6 random friends of the 6 random friends
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that we picked.
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In reality, this method will be biased toward individuals that are worthy of following since we
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are picking random followings.
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In reality, this method will be biased toward individuals that are worthy of following since
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"friends" are the list of users that someone followed.
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We will download all user data to /data/twitter/user/<screen_name>.json
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@@ -139,11 +142,78 @@ def download_users(start_point: str, n: float = math.inf, rate_limit: int = 10)
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files under this directory.
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:param start_point: Starting user's screen name.
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:param n: How many users do you want to download? (Set to infinity if you want all the data)
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:param rate_limit: The maximum number of requests per minute.
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:param n: How many users do you want to download? (Default: math.inf)
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:param base_dir: The downloads folder (Default: "/data/twitter/user/")
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:param rate_limit: The maximum number of requests per minute. (Default: 10)
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:return: None
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"""
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# Ensure that basedir ends with /
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if base_dir == '':
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base_dir = '.'
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if not base_dir.endswith('/'):
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base_dir += '/'
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# Set of all the downloaded users' screen names
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downloaded = set()
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# The set of starting users that are queried.
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done_set = set()
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# The set of starting users currently looping through
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current_set = {start_point}
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# The next set of starting users
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next_set = set()
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# Loop until there are enough users
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while len(downloaded) < n:
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# Take a screen name from the current list
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screen_name = current_set.pop()
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# Get a list of friends.
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friends = api.get_friends(screen_name=screen_name, count=5000)
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# Save users
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for user in friends:
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# This user was not saved, save the user.
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if user not in downloaded:
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# Save user json
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with open(base_dir + user.screen_name + '.json', 'w') as f:
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f.write(json.dumps(user._json))
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# Add to set
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downloaded.add(user.screen_name)
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# Get users and their popularity that we haven't downloaded
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screen_names = [(user.screen_name, user.followers_count) for user in friends
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if user.screen_name not in done_set]
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# Sort by followers count, from least popular to most popular
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screen_names.sort(key=lambda x: x[1])
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# Add 3 random users to the next set
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samples = set()
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if len(screen_names) > 3:
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samples = {n[0] for n in random.sample(screen_names, 3)}
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else:
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samples = {n[0] for n in screen_names}
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# Add 3 most popular users that we haven't downloaded to the next set
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while len(screen_names) > 0 and len(samples) < 6:
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most_popular = screen_names.pop()[0]
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if most_popular not in done_set and most_popular not in samples:
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samples.add(most_popular)
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# Add the selected users to the next set
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for s in samples:
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next_set.add(s)
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# Change name lists
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if len(current_set) == 0:
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current_set = next_set
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next_set = set()
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def convert_to_generic(username: str, tweet: Tweet) -> Posting:
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"""
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