Portraits of Complex Networks

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dc.creatorBagrow, J. P.
dc.creatorBollt, E. M.
dc.creatorSkufca, J. D.
dc.creatorben-Avraham, D.
dc.date2007-03-19
dc.date2008-02-28
dc.date.accessioned2026-07-07T09:23:37Z
dc.date.available2026-07-07T09:23:37Z
dc.descriptionWe propose a method for characterizing large complex networks by introducing a new matrix structure, unique for a given network, which encodes structural information; provides useful visualization, even for very large networks; and allows for rigorous statistical comparison between networks. Dynamic processes such as percolation can be visualized using animations. Applications to graph theory are discussed, as are generalizations to weighted networks, real-world network similarity testing, and applicability to the graph isomorphism problem.
dc.description6 pages, 9 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0703470
dc.identifierhttp://arxiv.org/abs/cond-mat/0703470
dc.identifierEPL 81 (2008) 68004
dc.identifierdoi:10.1209/0295-5075/81/68004
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/155795
dc.subjectDisordered Systems and Neural Networks
dc.titlePortraits of Complex Networks
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