• Home
  • About
  • People
  • Research
  • Partners
  • Contact

Leiden Computational Network Science Lab

Network science research lab at Leiden University

  • Home
  • About
  • People
  • Research
  • Partners
  • Contact

Counting temporal motifs in multilayer networks

December 12, 2018 network science

Network motifs are small building blocks consisting of a handful of nodes. Complex networks are made up out of countless of these little network patterns. Master student Hanjo Boekhout worked on algorithms for efficiently counting these motifs in a large-scale multilayer setting in which multiple types of interaction between nodes play a role. He extended existing temporal motif counting algorithms to incorporate the layer aspect, as well as partial timing of the edges. Hanjo presented his findings at the Complex Networks conference in Cambridge in December 2018. The work is summarized in the following paper:

  • H.D. Boekhout, W.A. Kosters and F.W. Takes, Counting Multilayer Temporal Motifs in Complex Networks, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 815: 565-577, Springer, 2018.

Using network analysis to understand the role of software components

A community-aware approach for detecting network anomalies

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.

 

 

Tweets by funwithnetworks
Proudly powered by WordPress | Theme: Doo by ThemeVS.