Literature DB >> 23215527

Geometric origin of scaling in large traffic networks.

Marko Popović1, Hrvoje Štefančić, Vinko Zlatić.   

Abstract

Large scale traffic networks are an indispensable part of contemporary human mobility and international trade. Networks of airport travel and cargo ship movements are invaluable for the understanding of human mobility patterns [R. Guimera et al., Proc. Natl. Acad. Sci. U.S.A. 102, 7794 (2005))], epidemic spreading [V. Colizza et al., Proc. Natl. Acad. Sci. U.S.A. 103, 2015 (2006)], global trade [International Maritime Organization, http://www.imo.org/], and spread of invasive species [G. M. Ruiz et al., Nature (London) 408, 49 (2000)]. Different studies [M. Barthelemy, Phys. Rept. 499, 1 (2011)] point to the universal character of some of the exponents measured in such networks. Here we show that exponents which relate (i) the strength of nodes to their degree and (ii) weights of links to degrees of nodes that they connect have a geometric origin. We present a simple robust model which exhibits the observed power laws and relates exponents to the dimensionality of 2D space in which traffic networks are embedded. We show that the relation between weight strength and degree is s(k)~k(3/2), the relation between distance strength and degree is s(d)(k)~k(3/2), and the relation between weight of link and degrees of linked nodes is w(ij)~(k(i)k(j))(1/2) on the plane 2D surface. We further analyze the influence of spherical geometry, relevant for the whole planet, on exact values of these exponents. Our model predicts that these exponents should be found in future studies of port networks and it imposes constraints on more refined models of port networks.

Entities:  

Year:  2012        PMID: 23215527     DOI: 10.1103/PhysRevLett.109.208701

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  5 in total

1.  Emergence of hierarchy in cost-driven growth of spatial networks.

Authors:  Rémi Louf; Pablo Jensen; Marc Barthelemy
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-14       Impact factor: 11.205

2.  Extraction of temporal networks from term co-occurrences in online textual sources.

Authors:  Marko Popović; Hrvoje Štefančić; Borut Sluban; Petra Kralj Novak; Miha Grčar; Igor Mozetič; Michelangelo Puliga; Vinko Zlatić
Journal:  PLoS One       Date:  2014-12-03       Impact factor: 3.240

3.  The geometric nature of weights in real complex networks.

Authors:  Antoine Allard; M Ángeles Serrano; Guillermo García-Pérez; Marián Boguñá
Journal:  Nat Commun       Date:  2017-01-18       Impact factor: 14.919

4.  Understanding the mesoscopic scaling patterns within cities.

Authors:  Lei Dong; Zhou Huang; Jiang Zhang; Yu Liu
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

5.  Multi-scale analysis of the European airspace using network community detection.

Authors:  Gérald Gurtner; Stefania Vitali; Marco Cipolla; Fabrizio Lillo; Rosario Nunzio Mantegna; Salvatore Miccichè; Simone Pozzi
Journal:  PLoS One       Date:  2014-05-08       Impact factor: 3.240

  5 in total

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