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Leiden Computational Network Science

Network science research group at Leiden University

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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 Group

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

 

 

Leiden Network Science Follow

News & updates about (computational) network science, complex networks and social network analysis; curated by @franktakes & Leiden group members

funwithnetworks
funwithnetworks Leiden Network Science @funwithnetworks ·
26 May

📢📢📢Join us for the Algorithmic Fairness in Network Science Satellite at @NetSci2025 on Tuesday 3 June. Details and schedule available at https://fairnetsci.github.io
#netsci #fairness

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saxena_akrati Akrati Saxena @saxena_akrati ·
24 Jan

🚨📢 Call for Abstracts! 📢🚨

Join us for the Algorithmic Fairness in Network Science Satellite at NetSci25

💡Submit your abstract and be part of this exciting conversation!

👉Details: https://fairnetsci.github.io/

📅 Deadline: February 7, 2025

#Callforabstract #netsci #fairness

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funwithnetworks Leiden Network Science @funwithnetworks ·
22 Oct

🔥🔥🔥
Great to see five @funwithnetworks collegues @bokanyie, @cerialbo, R. De Jong, E de Vink, and @yuliia_kazmina presenting their contributions at the @NetSciNL symposium last friday!

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funwithnetworks Leiden Network Science @funwithnetworks ·
9 Oct

🚨 New publication alert! 🚨
Excited to share our latest paper: "Sociopolitical evolution, population clustering, and technology among early sedentary communities in northeastern #Andes, #Colombia" by S. Fajardo and P. Argüello

Read it here 👇
🔗 https://www.sciencedirect.com/science/article/pii/S027841652400059X
#muisca

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