Fediverse

28688 readers

606 users here now

A community to talk about the Fediverse and all it's related services using ActivityPub (Mastodon, Lemmy, KBin, etc).

If you wanted to get help with moderating your own community then head over to !moderators@lemmy.world!

Rules

Posts must be on topic.
Be respectful of others.
Cite the sources used for graphs and other statistics.
Follow the general Lemmy.world rules.

Learn more at these websites: Join The Fediverse Wiki, Fediverse.info, Wikipedia Page, The Federation Info (Stats), FediDB (Stats), Sub Rehab (Reddit Migration), Search Lemmy

founded 2 years ago

MODERATORS

ruud@lemmy.world

Xylinna@lemmy.world

MrCenny@lemmy.world

TragicNotCute@lemmy.world

automodbeta@lemmy.world

woelkchen@lemmy.world

188

Map of 2000+ lemmy communities (danterious.codeberg.page)

submitted 3 months ago* (last edited 3 months ago) by Danterious@lemmy.dbzer0.com to c/fediverse@lemmy.world

27 comments fedilink hide all child comments

This is my first try at creating a map of lemmy. I based it on the overlap of commentors that visited certain communities.

I only used communities that were on the top 35 active instances for the past month and limited the comments to go back to a maximum of August 1 2024 (sometimes shorter if I got an invalid response.)

I scaled it so it was based on percentage of comments made by a commentor in that community.

Here is the code for the crawler and data that was used to make the map:

https://codeberg.org/danterious/Lemmy_map

you are viewing a single comment's thread
view the rest of the comments

[–] PugJesus@lemmy.world 42 points 3 months ago (5 children)

What do the X and Y Axis represent?

[–] Danterious@lemmy.dbzer0.com 23 points 3 months ago* (last edited 3 months ago) (4 children)

Well I used dimensionality reduction to make it 2D so the axes are how the algorithm chose to compress it.

The original data had each data point as a community and the features as a frequency of a user posting in that community.

~Anti~ ~Commercial-AI~ ~license~ ~(CC~ ~BY-NC-SA~ ~4.0)~

[–] threelonmusketeers@sh.itjust.works 10 points 3 months ago (1 children)

I used dimensionality reduction to make it 2D

Huh, interesting. So is the idea to spread the data out as much an possible, while keeping "similar" communities near each other? What was the dimensionality of the original set?

[–] Danterious@lemmy.dbzer0.com 9 points 3 months ago* (last edited 3 months ago) (1 children)

Total communities: 2986

Total users: 21934

So the dimensions were reduced from (2986, 21934) to (2986, 2)

Edit: Also yeah it is using Umap for the algorithm and it does do something pretty similar to what you described.

~Anti~ ~Commercial-AI~ ~license~ ~(CC~ ~BY-NC-SA~ ~4.0)~

[–] keepthepace@slrpnk.net 8 points 3 months ago (1 children)

That's really interesting! It shows which communities share users. I am part of jlai.lu, a french-speaking community that is relatively isolated by also slrpnk.net that seems very spread out!

Would it make sense to compute the standard deviation of each instance's communities? It would give an idea of which are islands and which are more extended. Not sure if it makes sense to compute it more on 2 dimensions or on the original 21934 though.

[–] Danterious@lemmy.dbzer0.com 6 points 3 months ago

Yeah that sounds like a good idea so you can see how connected local communities are. Probably makes more sense to use original dimensions so no extra information is lost.

~Anti~ ~Commercial-AI~ ~license~ ~(CC~ ~BY-NC-SA~ ~4.0)~

load more comments (2 replies)