Ensembles based on the Rich-Club and how to use them to build soft-communities
dc.contributor.author | Mondragon, RJ | en_US |
dc.date.accessioned | 2016-01-28T16:38:11Z | |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/10952 | |
dc.description | 16 pages, 5 figures | en_US |
dc.description | 16 pages, 5 figures | |
dc.description | 16 pages, 5 figures | en_US |
dc.description.abstract | 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. | en_US |
dc.subject | cs.SI | en_US |
dc.subject | cs.SI | en_US |
dc.subject | physics.data-an | en_US |
dc.title | Ensembles based on the Rich-Club and how to use them to build soft-communities | en_US |
dc.type | Article | |
pubs.author-url | http://arxiv.org/abs/1504.05782v1 | en_US |
pubs.notes | Not known | en_US |
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