Computer Science – Discrete Mathematics
Scientific paper
2008-07-25
Phys. Rev. E 79, 026102 (2009)
Computer Science
Discrete Mathematics
9 pages, 7 figures, see http://code.google.com/p/linloglayout/ for downloading the graph clustering and layout software
Scientific paper
10.1103/PhysRevE.79.026102
Two 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.
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