Modularity-Based Selection of the Number of Slices in Temporal Network Clustering

Patrik Seiron, Axel Lindegren, Matteo Magnani, Christian Rohner, Tsuyoshi Murata, Petter Holme

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review


A popular way to cluster a temporal network is to transform it into a sequence of networks, also called slices, where each slice corresponds to a time interval and contains the vertices and edges existing in that interval. A reason to perform this transformation is that after a network has been sliced, existing algorithms designed to find clusters in multilayer networks can be used. However, to use this approach, we need to know how many slices to generate. This chapter discusses how to select the number of slices when generalized modularity is used to identify the clusters.
Original languageEnglish
Title of host publicationTemporal Network Theory
EditorsPetter Holme, Jari Saramäki
ISBN (Electronic)978-3-031-30399-9
ISBN (Print)978-3-031-30398-2
Publication statusPublished - 2023
MoE publication typeA3 Book section, Chapters in research books

Publication series

NameComputational Social Sciences
ISSN (Print)2509-9574
ISSN (Electronic)2509-9582


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