cross-posted from: https://lemmy.dbzer0.com/post/27579423
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:
I pretty much only browse /all , so I’m throwing the numbers off! I don’t know myself with which communities i interact most.
Yeah I’ve noticed there aren’t many clusters that encode specific ideas (there are a few like the anime, nsfw, or sometimes instance level clusters). Most of it just seems to be a blend. Sorta disappointing.
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Are they clustered based on shared userbase?
Yeah pretty much. There is also a weighting based on the percentage of comments in that community that come from that user.
Anti Commercial-AI license (CC BY-NC-SA 4.0)
There’s not enough data yet for the noise to cancel itself out, I think.
Place and language-specific clusters are pretty coherent, if you go looking.