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

Спасибо за информацию! Интересно увидеть, как такие находки могут повлиять на общий анализ поведения пользователей на платформе. Удаление неаутентичных аккаунтов действительно поможет улучшить качество взаимодействия. Есть ли уже идеи по дальнейшим шагам или стратегиями обработки этих аккаунтов?