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This is really neat! Are there any insights you gleaned from doing this that were unexpected?

I knew GitHub is not a tiny website, but I didn't imagine how big it actually is. Each of those dots are giant parts of someone's life.

There are a lot of interests that I didn't know exist. For example https://github.com/cat-milk/Anime-Girls-Holding-Programming-... - someone collects anime girls holding programming books.

https://github.com/tylertreat/Comcast - and here is someone who is amazing at coming up with funny project names =)

What else did you use to calculate similarities? When I tried something similar with HN co-commenters, I just got one big blob with dang and other prolific commenters in the middle. That was not very interesting or insightful.

How long did it take to calculate the Leiden clustering and the force-layout? Do you think it would be somehow possible to compute a force-layout of the whole graph?

Somebody has been doing a lot of Covid-19 plots in Gnu-R

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