Modularity clustering is force-directed layout

dc.creatorNoack, Andreas
dc.date2008-07-25
dc.date2008-12-09
dc.date.accessioned2026-07-07T12:38:04Z
dc.date.available2026-07-07T12:38:04Z
dc.descriptionTwo natural and widely used representations for the community structure of networks are clusterings, which partition the vertex set into disjoint subsets, and layouts, which assign the vertices to positions in a metric space. This paper unifies prominent characterizations of layout quality and clustering quality, by showing that energy models of pairwise attraction and repulsion subsume Newman and Girvan's modularity measure. Layouts with optimal energy are relaxations of, and are thus consistent with, clusterings with optimal modularity, which is of practical relevance because both representations are complementary and often used together.
dc.description9 pages, 7 figures, see http://code.google.com/p/linloglayout/ for downloading the graph clustering and layout software
dc.identifierhttps://arxiv.org/abs/0807.4052
dc.identifierhttp://arxiv.org/abs/0807.4052
dc.identifierPhys. Rev. E 79, 026102 (2009)
dc.identifierdoi:10.1103/PhysRevE.79.026102
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/218629
dc.subjectDiscrete Mathematics
dc.subjectComputational Geometry
dc.subjectPhysics and Society
dc.subjectG.2.2; G.2.3; I.5.3
dc.titleModularity clustering is force-directed layout
dc.typetext

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