Estimating the population of monthly twitter users (as defined by: did tweet) from `statuses/sample` is something I'm going to have to do for engineering purposes, apparently. Which is boring but I haven't gotten to do any estimation in a while, so...I want to lol.
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(well, "all" is a poor choice of words — it's a lot)
Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo
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I have a huge DB of Twitter users and some other data that should help you. Plus methods of discovering user accounts that are never active, etc.
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I'm not sure if this would work for your research, but if we narrow the window of time down, some things would be easier. Questions like -- "How many user accounts are created in a typical day, etc."
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Maybe! Some useful stuff to know: users created before 2013-01-22 have sequential IDs, so you could enumerate them
after that they're 64bit snowflake IDs, like tweet ids. Dunno if I have a link to a user id dataset handy, will have a look!Thanks. Twitter will use this to make your timeline better. UndoUndo
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