Methodology: Posts, replies, and retweets from high-mindshare users are routinely captured. Based on a supervised learning model, the crypto relevance of each post is determined. Using only the set of crypto-relevant posts, a graph of user interactions is created that takes into account the aggregate engagement metrics of each user.


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