Gradient flow-based modularity maximization for community detection in multiplex networks

We propose two methods for the unsupervised detection of communities in undirected multiplex networks. These networks consist of multiple layers that record different relationships between the same entities or incorporate data from different sources. Both methods are formulated as gradient flows of...

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Bibliographic Details

Published in:	Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences Vol. 383; no. 2298; p. 20240244
Main Authors:	Bergermann, Kai, Stoll, Martin
Format:	Journal Article
Language:	English
Published:	England 05.06.2025
Subjects:	matrix exponential modularity total variation multiplex networks community detection
ISSN:	1471-2962, 1471-2962
Online Access:	Get more information
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