@fdavidcl does it use the number of connected instances?
@fdavidcl and what are the colors?
@angristan Apparent communities according to the modularity measure
@angristan Nope, it's finding individual connections between instances by counting users from one instance following those from another (only a small sample of users though, the fediverse is too big for that)
@fdavidcl oh interesting
@fdavidcl 1) its hilarious how many versions of the word mastodon are in this graph
2) is size based on number of connections or number of users?
@fdavidcl where are the largest instances?
@fdavidcl what do the colors mean?
@fdavidcl oops sorry i found it
@fdavidcl quite a bit less centralized than I expected (if the sizes are to scale)
@fdavidcl What do the colors indicate?
@fdavidcl it's impressive.😱 u did a good work!
@alphakamp The tool for the visualization is Gephi https://gephi.org/. I will probably share the script to obtain the data, when I finish the analysis
@fdavidcl hey we’re in there!
@fdavidcl What are the colors?
Oh nice, I see my instance is between the game makers and the furries.
@fdavidcl It would be interesting (and easy) to see how well the apparent communities line up with language groups, or whether there's other influences that dominate first.
@fdavidcl could you make a clickable/zoomable or searchable version of that?
@fdavidcl Nice. Are there explanations of the size of the circles and of their links, somewhere?
Also, "mastoverse" means you don't consider GNU social, PeerTube or Pleroma instances?
@fdavidcl It's interesting that you chose to size by connections; that makes my single*-user instance comparable in size to switter.at and social.coop, just because my instance has been around for a long time.
(* reported users are 6; a few bots and a few inactive accounts of friends)
@fdavidcl who can spot #socialcoop?
@samtoland do I win a prize?
@dazinism @samtoland couldn't spot it, did you?
Almost gave up, more than once, but was interested to see so many big/mid sized instances I had never come across. Its...
@mayel
... up and left straight through toot-lab.reclaim.technology if youre starting from mastodon.social
Almost gave up, more than once, but was interested to see so many big/mid sized instances I had never come across. Its...
@dazinism @samtoland aha! thanks
Bottom right of upper left quadrant.
@fdavidcl @samtoland I'm curious about the meaning of colour references.
@fdavidcl here's mine I made last year
https://not.phrack.fyi/system/media_attachments/files/000/019/554/original/ac8f582ce2d3bc95.png
@fdavidcl I like yours better honestly. I used graphviz to make mine
you got a larger image of that/pdf?
@wakest I removed it already. however, it was down at a user account /instance level. If I were to regenerate it, it would probably be redonk since the accounts that my server has become aware of now is almost 20k now.
@wakest I could probably try regenerating it just to see. Won't be able to today though
@fdavidcl That’s totally amazing! Is this just based on the Federated timeline? Or is any instance local data take into account?
@feoh It's based on the 'following' connections of people across instances
@fdavidcl wow that blew up
@fdavidcl I don't understand why mastodon.host isn't huge considering their federation bot
@angristan Because I have very little data probably. I can't scan every user in every instance, instead it's just counting the people followed by Gargron and the people followed by all of those, so it's a "small" sample and there's bias.
@fdavidcl oh ok
⬆️
Since everyone is asking, I'll answer here and hope people can see this:
- Node colors mean communities found with the modularity measure (e.g. blue instances are mostly japanese ones)
- Node sizes mean number of connections, not number of users
Full PDF: https://nofile.io/f/O7JfCcfq9AA/mastogravity.pdf