Analysis of community structure in networks of correlated data

Details Analysis of community structure in networks of correlated data Analysis of community structure in networks of correlated data

2008-12-16

arxiv.org/abs/0812.3030v2

Physical Review E, 80 (2009) 016114

Physics

Physics and Society

5 pages, 2 figures

Scientific paper

10.1103/PhysRevE.80.016114

We present a reformulation of modularity that allows the analysis of the community structure in networks of correlated data. The new modularity preserves the probabilistic semantics of the original definition even when the network is directed, weighted, signed, and has self-loops. This is the most general condition one can find in the study of any network, in particular those defined from correlated data. We apply our results to a real network of correlated data between stores in the city of Lyon (France).

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