User Categorization and Community Detection in Bitcoin Network
نویسندگان
چکیده
This project works on Bitcoin user categorization and community detection. A new user network generation method is presented to better contract user addresses. Users playing different roles are recognized with K-Means. Three different methods, K-Means, Node2Vector and Fiedler Vector Method are applied to analyze the network community structure. A major radiant community plus a minor community structure is detected.
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