broke: relying on opaque Twitter algorithm to find new people to follow bespoke: directly perusing follower graph of interesting people to find new people to follow
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Basic methodology: grab followers with Twitter API, import into Gephi, filter out accounts with >100k followers, compute "Modularity", color code based on modularity, size nodes based on in-degree, layout with ForceAtlas2.
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It's fun to play "identify the communities". Any help in the ones I can't identify or mess up are appreciated. Suggestions for accounts to do next are welcome. PM me if you want any of the Gephi files.
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@Conaw Big fish:@michael_nielsen@vgr@worrydream@andy_matuschak@KevinSimler@devonzuegel brown: rationalists green: 'softer' rationalists more interested in meditation? orange: productivity entrepreneurs?pic.twitter.com/fPFTZG84nQ
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purple: clojure(script) blue: startup culture???pic.twitter.com/H2091Ta8gf
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Replying to @MenanderSoter @michael_nielsen and
Blue is gov2.0, civictech, mediatech
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Replying to @Conaw @MenanderSoter and
This is incredible, yes please send file
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conor -- this is the kind of graph I'd like to see for roam content :D
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I like what LinkedIn did here as well, where they show you the clusters and allow you to name them yourself. I care far less about using the graph to browse as I do to gain insight over my thoughts that can only really happen when I have the big picturehttps://blog.linkedin.com/2011/01/24/linkedin-inmaps …
0 replies 0 retweets 0 likesThanks. Twitter will use this to make your timeline better. UndoUndo
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