A place for developers to talk about building on Farcaster.

/dev

small mvp of the @balajis.eth follow graph idea

@nobuilder.eth took the following data of the top 20% users from a hub and we plugged it into vis.js

effect is very clustered for now, if you have ideas on how to visualize it please ping us on gh!

play with it here:

Author of The Network State.
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Amusement, wonder, and uncertainty. now [redacted], prev @neynar ✴︎ libred.org

small mvp of the @balajis.eth follow graph idea

@rafi took the following data of the top 20% users from a hub and we plugged it into vis.js

effect is very clustered for now, if you have ideas on how to visualize it please ping us on gh!

play with it here: https://nobuilder.github.io/farcaster-social-graph/

context: https://warpcast.com/balajis.eth/0x1cd486

Great work! Can you try partitioning the graph into dense subgraphs, like below? This would identify the Farcaster tribes.

There are various approximate algorithms for clique detection, dense subgraph identification, and factorization of a matrix into block diagonals that you might use.

we got a lot of good ideas for improvement yesterday — will iterate on it next week

if there are some specific algorithms (eg clustering by replies, location, channel activity) you have in mind please shoot here or in github

we got a lot of good ideas for improvement yesterday — will iterate on it next week

if there are some specific algorithms (eg clustering by replies, location, channel activity) you have in mind please shoot here or in github https://github.com/NoBuilder/farcaster-social-graph

This is so darn beautiful. Reminds me of pretty much every other social network distribution I’ve seen. Notice the entire network is supported by very few “shepherds” at the edges of each sides of the sub/networks.

Awesome. Found myself. Really cool to see that the part of farcaster that I experience is only one small slice, and there’s a larger network that I’m barely seeing.