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On November 19, Hive.one, a project that maps community-based clusters of Bitcoin and Ethereum using math, announced the launch of a new version of the algorithm. Since the last time Hive.one released a roster, the scores and ranks of social influencers have 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 claimed it was the “biggest algorithm change ever”. Hive.one is characterized as a platform that mathematically describes groups of people and the web portal shows two lists of influencers of Bitcoin and Ethereum. Lists are algorithmically generated using Twitter data and refresh every 24 hours. Hive.one has even created a Covid-19 list based on Twitter influencers related to epidemiology to help fight coronavirus disinformation.
The list of influencers represented on the bitcoin (BTC) side includes a large number of individuals. The top five social influencers include people like Adam Back, Pieter Wuille, Pierre Rochard, Elizabeth Stark, and Jameson Lopp. After today’s top five, influencers like Stephan Livera, Matt Odell, Matt Corallo, Olaoluwa Osuntokun and Turr Demeester follow the top five respectively.
The list also provides a score, the number of people the influencer follows, how many people follow the luminary, and a seven-day percentage. The BTC list has 1,158 registered Twitter accounts and there is also a document of the list.
Influencers from the ethereum (ETH) list include Vitalik Buterin, Evan Van Ness, Hudson Jameson, Peter Szilagyi, and Hayden Adams for the top five. The last part of the top ten list includes Nick Johnson, Austin Griffith, Joseph Lubin, and Georgios.
Hive.one claims to only aggregate data from Twitter sources and the developers call the algorithm “Peoplerank”.
“It works similar to the original Pagerank,” says the Hive.one algorithm page. “Instead of ranking websites, it ranks identities. Instead of tracking links, track attention. It is also a second order metric. This means that it is important not only who pays attention to you, but also who pays attention to the people who pay attention to you. And so on.”
Additionally, the CIO of Arcane Assets, Eric Wall, discussed the recently updated Hive.one algorithmic list on Twitter.
“I did some analysis on the [Hive.one] data to compare level 0 decentralization between BTC ETH “, Wall tweeted. “I thought the Gini coefficients of the influencer scores (top 50) would reveal the differences in influencer equality (which I bet has an impact on protocol consensus).”
Wall further added:
This small test indicates that ETH has a slightly higher degree of level 0 (social level) inequality. This could be the result of [Vitalik Buterin] have a much stronger position in ETH than what [Adam Back] has in BTC, as the influencer score shows (but I’m not sure). This is not a complete picture, of course, it is more an idea for a methodology I would like to propose. In general, I think level 0 centralization is one of them [the] more important aspects of centralization, but we rarely try to measure them.
Following Wall’s tweet, Hive.one responded to the analysis and said that “much more can be done with our data and we encourage the creation of your own analysis.” Hive.one says the new algorithm is also “much faster when it comes to identifying changes in the cluster”.
“The algorithm now has automatic correction mechanisms,” explained Hive.one in a tweet. “It can identify changes in the underlying cluster structure as they occur and adapt accordingly. This means that the scores should maintain a stable level of accuracy over time. The algorithm can now scale “up and down”. We can map sub-cluster within each cluster as well as the super-cluster it belongs to. This means that, enough data and data [computation] we could index the entire Twitter with its millions of clusters, ”added the Hive.one Twitter account.
What do you think of Twitter’s Hive.one social ranking for Ethereum and Bitcoin influencers? Let us know what you think about this topic in the comments section below.
Image credits: Shutterstock, Pixabay, Wiki Commons, Hive.one,
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