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dc.contributor.authorSerrano Moral, Ma. Ángeles (María Ángeles)cat
dc.contributor.authorBoguñá, Mariáncat
dc.description.abstractWe develop a full theoretical approach to clustering in complex networks. A key concept is introduced, the edge multiplicity, that measures the number of triangles passing through an edge. This quantity extends the clustering coefficient in that it involves the properties of two¿and not just one¿vertices. The formalism is completed with the definition of a three-vertex correlation function, which is the fundamental quantity describing the properties of clustered networks. The formalism suggests different metrics that are able to thoroughly characterize transitive relations. A rigorous analysis of several real networks, which makes use of this formalism and the metrics, is also provided. It is also found that clustered networks can be classified into two main groups: the weak and the strong transitivity classes. In the first class, edge multiplicity is small, with triangles being disjoint. In the second class, edge multiplicity is high and so triangles share many edges. As we shall see in the following paper, the class a network belongs to has strong implications in its percolation properties.eng
dc.format.extent9 p.-
dc.publisherThe American Physical Societyeng
dc.relation.isformatofReproducció del document publicat a:
dc.relation.ispartofPhysical Review e, 2006, vol. 74, núm. 5, p. 056114-1-056114-9-
dc.rights(c) American Physical Society, 2006-
dc.sourceArticles publicats en revistes (Física de la Matèria Condensada)-
dc.subject.classificationFísica mèdicacat
dc.subject.classificationSistemes no linealscat
dc.subject.otherMedical physicseng
dc.subject.otherNonlinear systemseng
dc.titleClustering in complex networks. I. General formalismeng
Appears in Collections:Articles publicats en revistes (Física de la Matèria Condensada)

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