On the accurate computation of expected modularity in probabilistic networks

Abstract Modularity is one of the most widely used measures for evaluating communities in networks. In probabilistic networks, where the existence of edges is uncertain and uncertainty is represented by probabilities, the expected value of modularity can be used instead. However, efficiently computi...

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Bibliographic Details
Main Authors: Xin Shen, Matteo Magnani, Christian Rohner, Fiona Skerman
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-99114-5
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