Robustness of community structure in networks

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dc.creatorKarrer, Brian
dc.creatorLevina, Elizaveta
dc.creatorNewman, M. E. J.
dc.date2007-09-13
dc.date.accessioned2026-07-07T09:35:23Z
dc.date.available2026-07-07T09:35:23Z
dc.descriptionThe discovery of community structure is a common challenge in the analysis of network data. Many methods have been proposed for finding community structure, but few have been proposed for determining whether the structure found is statistically significant or whether, conversely, it could have arisen purely as a result of chance. In this paper we show that the significance of community structure can be effectively quantified by measuring its robustness to small perturbations in network structure. We propose a suitable method for perturbing networks and a measure of the resulting change in community structure and use them to assess the significance of community structure in a variety of networks, both real and computer generated.
dc.description10 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/0709.2108
dc.identifierhttp://arxiv.org/abs/0709.2108
dc.identifierPhys. Rev. E 77, 046119 (2008)
dc.identifierdoi:10.1103/PhysRevE.77.046119
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/159817
dc.subjectData Analysis, Statistics and Probability
dc.subjectStatistical Mechanics
dc.subjectPhysics and Society
dc.titleRobustness of community structure in networks
dc.typetext

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