Data

I did some more social network analysis on my flight. Below is the social graph of my 822 followers and 22,647 connections between them. Profiles that are red have a higher degree centrality (i.e. how many edges). From those who I follow, the top 3 most influential are:
1. @dwr.eth 
2. @jessepollak 
3. @phil

@base builder #001; onchain cities w/ OAK & city3

Building /bright-moments - minting onchain art IRL | /purple #15 | FID 129 #magikarp

Rome, Metropolitan City of Rome Capital, Italy

If we filter for nodes with 5 followers or more, it's very easy to see the big fish in the Farcaster pond (of course, there are many important people not represented here because I'm not following them!).

This kind of SNA is a really cool way to visualize influence (and detect bots!)

CPO at Catena Labs • building /decent-ai

Previously: Jump Crypto, Protocol Labs, Netflix, Google AI • ML art nerd • Based™ in 🗽 

www.jfiadeiro.com

Love a good graph view! It's what drew me to Roam before Obsidian (and now Tana but that's a different discussion) 

5000 $degen

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

Edges are follows (happy to render a directed graph with arrows indicating follow direction). @cyphr did some cool analysis using interactions as edges. 

I’d LOVE to make this a dynamic graph by taking daily snapshots.

Are the edges mutual following or interactions (reply, recast, mention, like)?

What’s the evolution of you network? What node lead to an explosion of growth?

Can you make sense of the clusters

5000 $degen because I love all things social graph