Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection

Abstract Complex systems, represented as dynamic networks, comprise of components that influence each other via direct and/or indirect interactions. Recent research has shown the importance of using Higher-Order Networks (HONs) for modeling and analyzing such complex systems, as the typical Markovia...

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Bibliographic Details
Main Authors: Mandana Saebi, Jian Xu, Lance M. Kaplan, Bruno Ribeiro, Nitesh V. Chawla
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:EPJ Data Science
Subjects:
Higher-order network
Dynamic network
Anomaly detection
Sequential data
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-020-00233-y

Internet

http://link.springer.com/article/10.1140/epjds/s13688-020-00233-y

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