2015/04/21 by Raul J. Mondragon, Mondragon, Raul J.
Computer Science · Physics and Astronomy · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Social and Information Networks (cs.SI) #Statistics and Probability (physics.data-an) #cs.SI #physics.data-an
paper · pdf · doi:10.48550/arxiv.1504.05782
16 pages, 5 figures
arxiv created 2015/04/21 · arxiv updated 2015/04/23
Ensembles of networks are used as null-models to discriminate network structures. We present an efficient algorithm, based on the maximal entropy method to generate network ensembles defined by the degree sequence and the rich-club coefficient. The method is applicable for unweighted, undirected networks. The ensembles are used to generate correlated and uncorrelated null--models of a real networks. These ensembles can be used to define the partition of a network into soft communities.