Dan Romero
@dwr.eth
Cool Farcaster graph visualization from @woj.eth and @rafi https://nobuilder.github.io/farcaster-social-graph
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woj ツ
@woj.eth
just 1 day in, had to beg @rafi to launch fast a shitty concept what type of connections that are less cluttered could we implement?
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kbc
@kbc
On Twitter everything with an edge weight < 3 is randomness. Delete them. Delete all isolates Let users enter their name & then build out the network in steps Cluster ppl. show only clusters & their connections. Clicking a cluster opens it up (often used for SNA with orgs)
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woj ツ
@woj.eth
1. entering a name def something i want to do 2. wdym by edge weight <3? 3. what cluster rules should we create? rn fc is small and all power users are all connected to each other, twitter with 1b users has much more visible clusters
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kbc
@kbc
Is your edge based on following? If yes, get interaction data (recast, reply, watch, like etc). If interactions <3 delete the follower edge. If need more info I need @jam Clusters: do bottom-up at the start. SLM is good for large data. You can check sociometrix (uni of Leiden) for ideas
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woj ツ
@woj.eth
this is absolutely brilliant man — all these are great suggestions will let you know once they make it to the code
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