Cool Farcaster graph visualization from @woj.eth and @nobuilder.eth

customer support @supercast

trying to sound smart /doingnumbers

Building /frametown. Amusement, wonder, and uncertainty ✴︎ libred.org


Cool Farcaster graph visualization from @woj.eth and @rafi 

https://nobuilder.github.io/farcaster-social-graph

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?

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)

TogetherCrew.com | single parent x 4 | seeker of adventure | survivor of chaos | host /togethercrew /kbc /single-parenting
seemore.tv/free/fc/kbc

Las Palmas de Gran Canaria, Las Palmas, Spain

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

Jam.so | 
BUIDLing The Creator Economy on Farcaster 🟣

/jamfrens 💟 
https://t.me/Jamfrens 💜

🐿️jamtogether 
/acf

this is absolutely brilliant man — all these are great suggestions

will let you know once they make it to the code

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