Summary
Asia-Pacific Network Operations and Management Symposium
2022
Session Number:TS7
Session:
Number:TS7-02
Community Structure in Public Blockchain Network
Meryam Essaid, Changhyun Lee, Jungyeon Kim, Aeri Kim, Hongteak Ju,
pp.-
Publication Date:2022/09/28
Online ISSN:2188-5079
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Summary:
Community structure is an important element in distributed network analysis. It helps in the detection of connectivity structure, the identification of undesired centralization, and the identification of crucial nodes. Most of the existing approaches use only topological information and neglect the rich information obtainable from the content data. In this paper, we propose a method that combines both topological data and content data to detect communities within blockchain public networks mainly the Bitcoin network. the proposed method is based on Feedforward Autoencoders and deep feature representations algorithm. Our results show that the community structure and most of the network properties are x4 higher than expected from a distributed network. In the Bitcoin network, nodes prefer to connect to other nodes that share the same characteristics.