25 lines
1.0 KiB
Python
25 lines
1.0 KiB
Python
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from collections import OrderedDict
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from collections import Counter
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from cassandra.cluster import Cluster
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cluster = Cluster(['172.20.0.6', '172.20.0.7', '172.20.0.8'])
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session = cluster.connect('twitter')
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# 2. Find the 100 accounts with the most followers
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rows = session.execute('SELECT user_id,follower_len FROM twitter.most_follows;')
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sorted_rows = dict(sorted(dict(rows).items(), key=lambda item: item[1]))
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most_follows = list(sorted_rows.keys())[-100:]
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print("Top 100 most followed accounts:",most_follows)
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print("________________________________________________________________")
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# Finding the 100 accounts that follow the most of the accounts found in 2).
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followed_accs = session.execute(f'SELECT follower_id FROM twitter.follower_relation WHERE user_id IN {tuple(most_follows)};')
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# followed_accs = list(followed_accs.keys())
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_list = list()
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for row in followed_accs:
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_list.append(row[0])
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followed_top_100 = Counter(_list).most_common(100)
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print("100 accounts that follow the most of the accounts found in 2)",followed_top_100)
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