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Results: 3
Number of items: 3
  • Open Access
    Trimborn, S., & Yu, L. (2026). Blockchain Meets Network Analytics: A Tale of Heuristics, Location, and Fraud Detection. In CY.-H. Chen, W. K. Härdle, & HH.-S. Lu (Eds.), Handbook of Blockchain Analytics (pp. 131-151). (Springer Handbooks of Computational Statistics). Springer. https://doi.org/10.1007/978-3-031-95418-4_7
  • Open Access
    Hui, Y., Zwetsloot, I. M., Trimborn, S., & Rudinac, S. (2025). Domain-Informed Negative Sampling Strategies for Dynamic Graph Embedding in Meme Stock-Related Social Networks. In WWW '25 : Proceedings of the ACM Web Conference 2025: April 28-May 2, 2025, Sydney, NSW, Australia (pp. 518-529). Association for Computing Machinery. https://doi.org/10.1145/3696410.3714650
  • Open Access
    Trimborn, S., Peng, H., & Chen, Y. (2024). Influencer detection meets network autoregression — Influential regions in the bitcoin blockchain. Journal of Empirical Finance, 78, Article 101529. https://doi.org/10.1016/j.jempfin.2024.101529
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