A topological approach for capturing high-order interactions in graph data with applications to anomaly detection in time-varying cryptocurrency transaction graphs

DOI10.3934/fods.2024024MaRDI QIDQ6620137

Umar Islambekov, Hasani Pathirana, Cuneyt Gurcan Akcora, Omid Khormali, Ekaterina Smirnova

Publication date: 16 October 2024

Published in: Foundations of Data Science (Search for Journal in Brave)

topological data analysis persistent homology anomaly detection persistence diagram time-varying graphs Betti function cryptocurrency networks

Mathematics Subject Classification ID

Persistent homology and applications, topological data analysis (55N31) Computational aspects of data analysis and big data (68T09) Topological data analysis (62R40)

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