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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
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.
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.
@Conaw

Big fish: @michael_nielsen @vgr @worrydream @andy_matuschak @KevinSimler @devonzuegel

brown: rationalists
green: 'softer' rationalists more interested in meditation?
orange: productivity entrepreneurs?
@Conaw @michael_nielsen @vgr @worrydream @andy_matuschak @KevinSimler @devonzuegel purple: clojure(script)
blue: startup culture???
I worded this unclearly. I start with a 'subject' Twitter account. Then, I grab the accounts the subject follows. The graph represents the relationships between all those accounts.
You will only find yourself on one of these Twitter graphs if the 'subject' (i.e. the root person the graph is based on) follows you. If I haven't done a graph for a subject who follows you (yet), you won't be on it
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