A Simple Probabilistic Algorithm for Detecting Community Structure in Social Networks

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dc.creatorRen, Wei
dc.creatorYan, Guiying
dc.creatorLiao, Xiaoping
dc.date2007-10-18
dc.date2008-07-11
dc.date.accessioned2026-07-07T09:49:28Z
dc.date.available2026-07-07T09:49:28Z
dc.descriptionIn this paper, we propose a novel semi-parametric probabilistic model which considers interactions between different communities and can provide more information about the network topology besides correctly detecting communities. By using an additional parameter, our model can not only detect community structure but also detect pattern which is a generalization of common sense network community structure. The prior parameter in our model reveals the characteristics of patterns inside the network. Results on some widely known data sets prove the efficiency of our model.
dc.description7 pages, 8 figures
dc.identifierhttps://arxiv.org/abs/0710.3422
dc.identifierhttp://arxiv.org/abs/0710.3422
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/164603
dc.subjectPhysics and Society
dc.titleA Simple Probabilistic Algorithm for Detecting Community Structure in Social Networks
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