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

CPO at Catena Labs • building /decent-ai

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

www.jfiadeiro.com

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

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

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.

Adding direction would be cool for analysis, but not for viz. 

I’ve looked into dynamic graph using ndtv package on R. But dataset is too large.

Could check out the bibliometrix package & use the code for histogram. Would need some changes.

Can you share @cyphr work