Weirdnodes: centrality based anomaly detection on temporal networks for the anti-financial crime domain
Abstract Analyzing the financial domain presents significant challenges, particularly due to the lack of publicly available data and the limited opportunities for the scientific community to test methods and algorithms on real datasets. This paper explores the application of network analysis to the...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-04-01
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| Series: | Applied Network Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s41109-025-00702-1 |
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