there's is one way of managing this using regular api requests, the dinosaur ones. url3 = 'https://twitter.com/search?q='+x+'&src=typed_query&f=live …' x being the list of keywords with %=space So then you'd be querying this live feed of theirs, or similar, utilize their search function and automate digging it
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The twitter api proper has a, statuses/retweeters/ids endpoint. But all it gets you is a star graph. I want, Johnny <- Alice <- Bob <- Carol where Carol is the one we all retweeted
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I thought Twitter copied a tweet onto all followers timelines. Wouldn't you have to snowball all of the retweets and then search for shortest paths between nodes?
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You can’t tell if the retweeter saw it directly or because of another retweeter or because of a like acting as a retweet stuffing the timeline. And since twitter feeds aren’t necessarily chronological it’s a lot of inference that increases in uncertainty really fast.
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Yes! This would be a key tool in helping us orient, parse and eventually establish confidence level in a given assertion
Thanks. Twitter will use this to make your timeline better. UndoUndo
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