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Algorithm xxx: PyGenStability, a multiscale community detection with generalized Markov stability

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Title: Algorithm xxx: PyGenStability, a multiscale community detection with generalized Markov stability
Authors: Arnaudon, A
Schindler, D
Peach, R
Gosztolai, A
Hodges, M
Schaub, M
Barahona, M
Item Type: Journal Article
Abstract: We present PyGenStability, a general-use Python software package that provides a suite of analysis and visualisation tools for unsupervised multiscale community detection in graphs. PyGenStability finds optimized partitions of a graph at different levels of resolution by maximizing the generalized Markov Stability quality function with the Louvain or Leiden algorithms. The package includes automatic detection of robust graph partitions and allows the flexibility to choose quality functions for weighted undirected, directed and signed graphs, and to include other user-defined quality functions.
Issue Date: 28-Jun-2024
Date of Acceptance: 23-Feb-2024
URI: http://hdl.handle.net/10044/1/110919
DOI: 10.1145/3651225
ISSN: 0098-3500
Publisher: Association for Computing Machinery (ACM)
Start Page: 1
End Page: 8
Journal / Book Title: ACM Transactions on Mathematical Software
Volume: 50
Issue: 2
Copyright Statement: Copyright © 2024 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License.
Publication Status: Published
Online Publication Date: 2024-03-11
Appears in Collections:Department of Immunology and Inflammation
Applied Mathematics and Mathematical Physics
Faculty of Medicine
Department of Brain Sciences
Faculty of Natural Sciences
Mathematics



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