Temporal Networks based Industry Identification for Bitcoin Users
Published in Proceedings of The 16th International Conference on Wireless Algorithms, Systems, and Applications (WASA), 2021
Recommended citation: Han, W., Chen, D., Pang, J., Wang, K., Chen, C., Huang, D., & Fan, Z. (2021). "Temporal Networks based Industry Identification for Bitcoin Users." Proceedings of The 16th International Conference on Wireless Algorithms, Systems, and Applications (WASA). 108-120. http://academicpages.github.io/files/wasa_industry_id.pdf
Bitcoin Industry Activity Analysis: This paper proposes a Bitcoin user industry identification method. Applying this method, we reproduced the main activity trajectories of users in various industries, providing opportunities to analyze the transaction behaviors of users within specific industries.
Recommended citation: Han, W., Chen, D., Pang, J., Wang, K., Chen, C., Huang, D., & Fan, Z. (2021). “Temporal Networks based Industry Identification for Bitcoin Users.” Proceedings of The 16th International Conference on Wireless Algorithms, Systems, and Applications (WASA). 108-120.