Computing Betweenness Centrality in Link Stream

Frédéric Simard, Clémence Magnien, Matthieu Latapy

Journal of Graph Algorithms and Applications 27:3, 2023 DOI: 10.7155/jgaa.00620

Betweenness centrality is one of the most important concepts in graph analysis. It was recently extended to link streams, a graph generalization where links arrive over time. However, its computation raises non-trivial issues, due in particular to the fact that time is considered as continuous. We provide here the first algorithms to compute this generalized betweenness centrality, as well as several companion algorithms that have their own interest. They work in polynomial time and space, we illustrate them on typical examples, and we provide an implementation.


Code available here