Disorder and decision cost in spatial networks (Articolo in rivista)

Type
Label
  • Disorder and decision cost in spatial networks (Articolo in rivista) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Alternative label
  • Zanin M.; Buldú J.M.; Cano P.; Boccaletti S. (2008)
    Disorder and decision cost in spatial networks
    in Chaos (Woodbury N.Y.)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Zanin M.; Buldú J.M.; Cano P.; Boccaletti S. (literal)
Pagina inizio
  • 023103 (literal)
Pagina fine
  • [6] (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 18(2) (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • American Institute of Physics (AIP). (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1) Universidad Autónoma de Madrid, 28049 Cantoblanco, Madrid, Spain 2) Departamento de Física, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, Spain 3) Music Technology Group, Universitat Pompeu Fabra, 08003 Barcelona, Spain 4) CNR-Istituto dei Sistemi Complessi, Via Madonna del Piano, 10, 50019 Sesto Fiorentino (Florence), Italy 5) The Italian Embassy in Tel Aviv, Trade Tower, 25 Hamered Street, Tel Aviv, Israel (literal)
Titolo
  • Disorder and decision cost in spatial networks (literal)
Abstract
  • We introduce the concept of decision cost of a spatial graph, which measures the disorder of a given network taking into account not only the connections between nodes but their position in a two-dimensional map. The influence of the network size is evaluated and we show that normalization of the decision cost allows us to compare the degree of disorder of networks of different sizes. Under this framework, we measure the disorder of the connections between airports of two different countries and obtain some conclusions about which of them is more disordered. The introduced concepts (decision cost and disorder of spatial networks) can easily be extended to Euclidean networks of higher dimensions, and also to networks whose nodes have a certain fitness property (i.e., one-dimensional). (literal)
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