Motif-based communities in complex networks

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dc.creatorArenas, Alex
dc.creatorFernandez, Alberto
dc.creatorFortunato, Santo
dc.creatorGomez, Sergio
dc.date2007-09-29
dc.date.accessioned2026-07-07T09:39:47Z
dc.date.available2026-07-07T09:39:47Z
dc.descriptionCommunity definitions usually focus on edges, inside and between the communities. However, the high density of edges within a community determines correlations between nodes going beyond nearest-neighbours, and which are indicated by the presence of motifs. We show how motifs can be used to define general classes of nodes, including communities, by extending the mathematical expression of Newman-Girvan modularity. We construct then a general framework and apply it to some synthetic and real networks.
dc.identifierhttps://arxiv.org/abs/0710.0059
dc.identifierhttp://arxiv.org/abs/0710.0059
dc.identifierJ. Phys. A: Math. Theor. 41 (2008) 224001
dc.identifierdoi:10.1088/1751-8113/41/22/224001
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/161301
dc.subjectComputational Physics
dc.subjectData Analysis, Statistics and Probability
dc.subjectPhysics and Society
dc.titleMotif-based communities in complex networks
dc.typetext

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