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exns@euxenus• almost 6 years ago

I've done a lot of Twitter graphs now, many with overlapping communities. They show many angles, but there has been a lot of repeated characters. Whose graph would somewhat match my interests (see ones I've done), yet reveal new communities? Suggestions below please

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1/24/2020

exns@euxenus• almost 6 years ago

Replying to @euxenus

Ah, forgot to mention: It's best if they follow between about 300-2000 people. Any less is little structure, too many is too chaotic and takes forever (for API limits)

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1/24/2020

Visakan Veerasamy@visakanv• almost 6 years ago

Replying to @euxenus

@MenanderSoter Some of my coolest friends are quite far out of the friend-graphs that have been surfaced so far @priya_ebooks @RealSexyCyborg @Chelsea_Fagan @itsmeardenleigh are all very cool, and also *not* mutuals with most of my twitter friends – so their graphs will be very different

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1/24/2020

Richard D. Bartlett@RichDecibels• almost 6 years ago

Replying to @euxenus

@MenanderSoter Do @emmibevensee

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1/24/2020

Richard D. Bartlett@RichDecibels• almost 6 years ago

Replying to @RichDecibels

@MenanderSoter @emmibevensee And @KevinCarson1 and @rechelon Left Market Anarchists around these parts

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1/24/2020

goblin waifu@goblinodds• almost 6 years ago

Replying to @euxenus

@MenanderSoter rudely interjecting to ask if there's a tutorial on this for people w minimal programming knowledge

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1/24/2020

exns@euxenus• almost 6 years ago

Replying to @goblinodds

@goblinodds Read this thread https://t.co/dqwFRLn705 If you need more details DM me

exns@euxenus• almost 6 years ago

For those asking about the code for this, or a public version: it's not easily automatable right now. I'm doing it in a semi-automated way with https://t.co/d5rcL9X5l0 and https://t.co/NLn3VcxZ5T https://t.co/8cCn893epH

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