THE ROLE OF GEOGRAPHY AND TRAFFIC IN THE STRUCTURE OF COMPLEX NETWORKS
Marc Barthélemy (),
Alain Barrat () and
Alessandro Vespignani ()
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Marc Barthélemy: School of Informatics and Biocomplexity Center, Indiana University, Bloomington, IN 47406, USA
Alain Barrat: Laboratoire de Physique Théorique (UMR du CNRS 8627), Bâtiment 210, Université de Paris-Sud 91405 Orsay, France
Alessandro Vespignani: School of Informatics and Biocomplexity Center, Indiana University, Bloomington, IN 47406, USA
Advances in Complex Systems (ACS), 2007, vol. 10, issue 01, 5-28
Abstract:
We report a study of the correlations among topological, weighted and spatial properties of large infrastructure networks. We review the empirical results obtained for the air-transportation infrastructure that motivates a network modeling approach which integrates the various attributes of this network. In particular, we describe a class of models which include a weight-topology coupling and the introduction of geographical attributes during the network evolution. The inclusion of spatial features is able to capture the appearance of non-trivial correlations between the traffic flows, the connectivity pattern and the actual distances of vertices. The anomalous fluctuations in the betweenness-degree correlation function observed in empirical studies are also recovered in the model. The presented results suggest that the interplay between topology, weights and geographical constraints is a key ingredient in order to understand the structure and evolution of many real-world networks.
Keywords: Networks; traffic; transportation systems (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:10:y:2007:i:01:n:s021952590700091x
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DOI: 10.1142/S021952590700091X
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