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Leiden Computational Network Science Lab

Network science research lab at Leiden University

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A community-aware approach for detecting network anomalies

December 12, 2018 network science

Network anomalies can for for example be spammers in communication networks, intruders in physical network systems or bots on social media. Master student Thomas Helling developed a new algorithm for finding such spammers, taking the awareness of nodes with respect to the community structure of the network, into account. Thomas presented this work at Complex Networks 2018 in Cambridge. Find the paper here:

  • T.J. Helling, J. Scholtes and F.W. Takes, A community-aware approach for identifying node anomalies in complex networks, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 815: 244-255, Springer, 2018.

Counting temporal motifs in multilayer networks

The structure of criminal discussion forum networks on the dark net

About the CNS Lab

The Leiden Computational Network Science Lab (CNS Lab) is a research group working on methods for knowledge discovery from real-world network data. We develop algorithms to unveil patterns in dynamic complex networks from a range of application domains, including (online) soclal networks, scientific collaboration networks and economic networks. The CNS Lab is lead by Frank Takes and hosted at LIACS, the Department of AI and Computer Science of Leiden University.

 

 

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