@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 what's up with the different colors?
@brainblasted They're apparent communities computed via modularity class in Gephi
@fdavidcl @brainblasted please explain for someone who knows that Gephi exists and not much more
Agreed!
Why only masto?
@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?
⬆️
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
LB: heeey 
@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
This is one is not a mastodon instance but a pleroma one and there is probably other, so it’s the fediverse not the mastoverse…
@fdavidcl hey we’re in there!
@fdavidcl How big does an instance have to be to be on that?
@fdavidcl does it use the number of connected instances?