Algorithmic Bitcoin and Ethereum Social Attention List Ranks Influencers With Math

On November 19, Hive.one, a project that maps the community clusters of Bitcoin and Ethereum social status using mathematics, announced the launch of a new algorithm version. Since the last time Hive.one published a list, social influencer scores and ranks changed and the creators believe the new scores “better reflect reality.”

Just recently Hive.one announced the launch of the project’s new algorithm (v 2.0) and said it was the “biggest change to the algorithm yet.” Hive.one characterizes itself as a platform that describes groups of people mathematically and the web portal showcases two lists of Bitcoin and Ethereum influencers. The lists are generated algorithmically using data from Twitter and it updates every 24 hours. Hive.one even created a Covid-19 list based on epidemiology-related Twitter influencers to help fight coronavirus misinformation.

The list of influencers represented on the bitcoin (BTC) side includes a great number of individuals. The top five social influencers include people like Adam Back, Pieter Wuille, Pierre Rochard, Elizabeth Stark, and Jameson Lopp. Following the top five today, influencers like Stephan Livera, Matt Odell, Matt Corallo, Olaoluwa Osuntokun, and Turr Demeester trail behind the top five respectively.

Algorithmic Bitcoin and Ethereum Social Attention List Ranks Influencers With Math

The list also gives a score, the number of people the influencer follows, how many individuals follow the luminary, and a seven-day percentage. The BTC list has 1,158 Twitter accounts recorded and there’s a document of the list as well.

Influencers stemming from the ethereum (ETH) list include Vitalik Buterin, Evan Van Ness, Hudson Jameson, Peter Szilagyi, and Hayden Adams for the top five. The latter end of the top ten list includes Nick Johnson, Austin Griffith, Joseph Lubin, and Georgios.

Algorithmic Bitcoin and Ethereum Social Attention List Ranks Influencers With Math

Hive.one says it only aggregates data from Twitter sources and the developers call the algorithm “Peoplerank.”

“It works similar to the original Pagerank,” Hive.one’s algorithm page

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