Generalized communities in networks
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Abstract (arXiv)
A substantial volume of research has been devoted to studies of community structure in networks, but communities are not the only possible form of large-scale network structure. Here we describe a broad extension of community structure that encompasses traditional communities but includes a wide range of generalized structural patterns as well. We describe a principled method for detecting this generalized structure in empirical network data and demonstrate with real-world examples how it can be used to learn new things about the shape and meaning of networks.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 May 2015.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 0; 2025: 1.
4 papers.
- 202220 years of network community detectioncited by 23
- 2021Modularity maximisation for graphonscited by 1
- 2021A Generative Node-attribute Network Model for Detecting Generalized Structurecited by 1
- 2025Model inference for ranking from pairwise comparisonscited by 0
- 2025Model inference for ranking from pairwise comparisons17 Dec 2025
- 202220 years of network community detection30 Jul 2022
- 2021A Generative Node-attribute Network Model for Detecting Generalized Structure5 Jun 2021
- 2021Modularity maximisation for graphons2 Jan 2021