Journal article : Review
Fast unfolding of communities in large networks: 15 years later
- Abstract:
- The Louvain method was proposed 15 years ago as a heuristic method for the fast detection of communities in large networks. During this period, it has emerged as one of the most popular methods for community detection: the task of partitioning vertices of a network into dense groups, usually called communities or clusters. Here, after a short introduction to the method, we give an overview of the different generalizations, modifications and improvements that have been proposed in the literature, and also survey the quality functions, beyond modularity, for which it has been implemented. Finally, we conclude with a discussion on the limitations of the method and perspectives for future research.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 902.7KB, Terms of use)
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- Publisher copy:
- 10.1088/1742-5468/ad6139
Authors
+ Engineering and Physical Sciences Research Council
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- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/V03474X/1
- EP/V013068/1
- Publisher:
- IOP Publishing
- Journal:
- Journal of Statistical Mechanics: Theory and Experiment More from this journal
- Volume:
- 2024
- Issue:
- 10
- Article number:
- 10R001
- Publication date:
- 2024-10-28
- Acceptance date:
- 2024-06-21
- DOI:
- EISSN:
-
1742-5468
- Language:
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English
- Keywords:
- Subtype:
-
Review
- Pubs id:
-
2010295
- Local pid:
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pubs:2010295
- Deposit date:
-
2024-06-26
- ARK identifier:
Terms of use
- Copyright holder:
- Blondel et al
- Copyright date:
- 2024
- Rights statement:
- © 2024 The Author(s). Published on behalf of SISSA Medialab srl by IOP Publishing Ltd. Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
- Licence:
- CC Attribution (CC BY)
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