Twitter, je te présente Sandra, sur qui je tombe par hasard, et qui mérite qu'on en parle un peu.pic.twitter.com/h0uuqadWnI
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There are so many Tweets per day that the daily rhythm of the account isn't the average of multiple days, but single ones. The account starts to tweet at 11am MEZ on most days. 6am last Thursday. Nearly no Tweets on Sunday. Interactive: https://accountanalysis.lucahammer.com/sandrapetersonl pic.twitter.com/EfdPtzKNtm
90% of the followers can be sorted into three clusters. Two French (violett, blue) and an English one (green).pic.twitter.com/1DtLFF5kUu
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How did you generate these clusters? What do they represent? (Followers who also follow fellow followers?)
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With a network analysis software (it looks like Gephi, free and simple). And yeah, I guess it's mutual follows (?)
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Yes. Not mutual but only how the followers follow each other. Position by ForceAtlas2, Color by Modularity Group. I wrote about the general process herehttps://lucahammer.com/2016/09/06/guide-analyzing-twitter-networks-with-gephi-0-9-1/ …
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Oh, how I wish this was a graph of a guitar-player's followers.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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I will add that the @'s tend to disappear quickly, either because the tweets are deleted or the bots are hunted down
Thanks. Twitter will use this to make your timeline better. UndoUndo
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I have been pulled into twitter @ canoes related to the
@LeColonelActus account for more than a year now, despite my pleas to be left alone and attempts to block. Lots of French fascist content, seemingly from bots. Is this account on your radar?Thanks. Twitter will use this to make your timeline better. UndoUndo
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