Case studies in network community detection

@article{Shai2017CaseSI,
  title={Case studies in network community detection},
  author={S. Shai and N. Stanley and C. Granell and D. Taylor and P. Mucha},
  journal={ArXiv},
  year={2017},
  volume={abs/1705.02305}
}
Community structure describes the organization of a network into subgraphs that contain a prevalence of edges within each subgraph and relatively few edges across boundaries between subgraphs. The development of community-detection methods has occurred across disciplines, with numerous and varied algorithms proposed to find communities. As we present in this Chapter via several case studies, community detection is not just an "end game" unto itself, but rather a step in the analysis of network… Expand
18 Citations
Adapting Community Detection Approaches to Large, Multilayer, and Attributed Networks
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Community Detection Techniques for Evolving Social Networks
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Hierarchical community structure in networks
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Testing Alignment of Node Attributes with Network Structure Through Label Propagation
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Effective Resistance-based Germination of Seed Sets for Community Detection
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Concurrency and reachability in treelike temporal networks
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Modularity belief propagation on multilayer networks to detect significant community structure
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