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Community detection in graphs
2010
Physics reports
The modern science of networks has brought significant advances to our understanding of complex systems. One of the most relevant features of graphs representing real systems is community structure, or clustering, i. e. the organization of vertices in clusters, with many edges joining vertices of the same cluster and comparatively few edges joining vertices of different clusters. Such clusters, or communities, can be considered as fairly independent compartments of a graph, playing a similar
doi:10.1016/j.physrep.2009.11.002
fatcat:4ehi6spclncgtevcwxwztmhw4y