Here are the ~2.5K "Unlikely to engage in spammy behavior" (i.e. value = 2) accounts being followed by @bleu.eth (left) vs. the ~6.8K accounts that are following @bleu.eth (right)

There are 40K+ (value = 2) accounts in the map with 8.2 million following/followers relationships between them represented

Low-hanging fruit: identifying a cluster of ~500 inauthentic accounts among the 40K+ accounts that Warpcast has labeled "Unlikely to engage in spammy behavior" (examples: @champy @007kg @bejita @ashur @chanin @ep15 @farook @allplay @5023 @darika)

A cat lover who interested in cryptocurrency and ETH development

Phai Cham Sin, Wiset Chai Chan District, Ang Thong 14110, Thailand

ฟอลมา ฟอลกลับ ทุกคนจ้า

My Name is AllPlay. I love Playing everything on crypto,NFT and GameFi

คนไทยครับช่วยกัน follow 


Hi ฟอลมา ฟอลกลับ 100%

Low-hanging fruit: identifying a cluster of ~500 inauthentic accounts among the 40K+ accounts that Warpcast has labeled "Unlikely to engage in spammy behavior" (examples: @champy @007kg @bejita @ashur @chanin @ep15 @farook @allplay @5023 @darika) https://warpcast.com/geoffgolberg/0xf81db2a4

I like running, poker and oysters | Founder, Social Forensics (SocialForensics.com) | Berkeley & UPenn | Learning to listen

F4F and their inability to get authentic accounts to follow them back

What causes them to be clustered like that? F4F?

Seeing them in their own little bubble is so sad!

This is very interesting and intriguing. Always enjoy seeing data like this. Thanks for sharing. 

Honestly when I first seen the image I thought it was a mathematical created artwork. Which it basically is imo. Cheers

Love this viz tool. Just begging to be thrown at an Support Vector Machine model.