Ensemble approach to the analysis of weighted networks (Articolo in rivista)

Type
Label
  • Ensemble approach to the analysis of weighted networks (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Ahnert, SE; Garlaschelli, D; Fink, TMA; Caldarelli, G (2007)
    Ensemble approach to the analysis of weighted networks
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ahnert, SE; Garlaschelli, D; Fink, TMA; Caldarelli, G (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 76 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNRS, Inst Curie, UMR 144, F-75248 Paris, France; Univ Siena, Dipartimento Fis, I-53100 Siena, Italy; Univ Roma La Sapienza, INFM, CNR, Ist Sistemi Complessi, I-00185 Rome, Italy; Univ Roma La Sapienza, Dipartimento Fis, I-00185 Rome, Italy; Ctr Studi & Museo della Fis Enrico Fermi, I-00185 Rome, Italy (literal)
Titolo
  • Ensemble approach to the analysis of weighted networks (literal)
Abstract
  • We present an approach to the analysis of weighted networks, by providing a straightforward generalization of any network measure defined on unweighted networks, such as the average degree of the nearest neighbors, the clustering coefficient, the 'betweenness,' the distance between two nodes, and the diameter of a network. All these measures are well established for unweighted networks but have hitherto proven difficult to define for weighted networks. Our approach is based on the translation of a weighted network into an ensemble of edges. Further introducing this approach we demonstrate its advantages by applying the clustering coefficient constructed in this way to two real-world weighted networks. (literal)
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