tweets

This is data scraped from swyx's timeline! See blog post

2 rows where "created_at" is on date 2021-11-10 and in_reply_to_user_id = 33521530

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id ▼ user created_at full_text retweeted_status quoted_status place source truncated display_text_range in_reply_to_status_id in_reply_to_user_id in_reply_to_screen_name geo coordinates contributors is_quote_status retweet_count favorite_count favorited retweeted possibly_sensitive lang scopes
1458243441746350080 swyx 33521530 2021-11-10T01:21:44+00:00 @eugenewei Graph design feels like a one way door. Dimensions to consider: - Self-reinforcing intial perception (Pinterest) - 1:1 vs Broadcast as core interaction? - Create vs Consume ratio? - Gather by Social, Interest, Org, Geo? - Trust system? - Content sources? - Subgroups (Reed's law) https://twitter.com/swyx/status/1458243441746350080/photo/1       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [11, 291] 1458241442883653641 33521530 swyx       0 0 3 0 0 0 en  
1458453691493597184 swyx 33521530 2021-11-10T15:17:11+00:00 Calendar Morghulis       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [0, 18] 1458156097622007809 33521530 swyx       0 1 9 0 0   in  

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CREATE TABLE [tweets] (
   [id] INTEGER PRIMARY KEY,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [full_text] TEXT,
   [retweeted_status] INTEGER,
   [quoted_status] INTEGER,
   [place] TEXT REFERENCES [places]([id]),
   [source] TEXT REFERENCES [sources]([id]), [truncated] INTEGER, [display_text_range] TEXT, [in_reply_to_status_id] INTEGER, [in_reply_to_user_id] INTEGER, [in_reply_to_screen_name] TEXT, [geo] TEXT, [coordinates] TEXT, [contributors] TEXT, [is_quote_status] INTEGER, [retweet_count] INTEGER, [favorite_count] INTEGER, [favorited] INTEGER, [retweeted] INTEGER, [possibly_sensitive] INTEGER, [lang] TEXT, [scopes] TEXT,
   FOREIGN KEY([retweeted_status]) REFERENCES [tweets]([id]),
   FOREIGN KEY([quoted_status]) REFERENCES [tweets]([id])
);
CREATE INDEX [idx_tweets_source]
    ON [tweets] ([source]);