On the rich-club effect in dense and weighted networks

Simple item page
dc.creatorZlatic, Vinko
dc.creatorBianconi, Ginestra
dc.creatorDiaz-Guilera, Albert
dc.creatorGarlaschelli, Diego
dc.creatorRao, Francesco
dc.creatorCaldarelli, Guido
dc.date2008-07-04
dc.date2009-01-09
dc.date.accessioned2026-07-07T12:42:35Z
dc.date.available2026-07-07T12:42:35Z
dc.descriptionFor many complex networks present in nature only a single instance, usually of large size, is available. Any measurement made on this single instance cannot be repeated on different realizations. In order to detect significant patterns in a real--world network it is therefore crucial to compare the measured results with a null model counterpart. Here we focus on dense and weighted networks, proposing a suitable null model and studying the behaviour of the degree correlations as measured by the rich-club coefficient. Our method solves an existing problem with the randomization of dense unweighted graphs, and at the same time represents a generalization of the rich--club coefficient to weighted networks which is complementary to other recently proposed ones.
dc.descriptionFinal version accepted for publication on EPJB
dc.identifierhttps://arxiv.org/abs/0807.0793
dc.identifierhttp://arxiv.org/abs/0807.0793
dc.identifierEur. Phys. J. B 67, 271-275 (2009).
dc.identifierdoi:10.1140/epjb/e2009-00007-9
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/220124
dc.subjectPhysics and Society
dc.subjectDisordered Systems and Neural Networks
dc.subjectStatistical Mechanics
dc.titleOn the rich-club effect in dense and weighted networks
dc.typetext

Files

Collections

arXiv