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Large subway systems as complex networks

Author

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  • Angeloudis, Panagiotis
  • Fisk, David

Abstract

Analysis of the world's largest subway systems reveals two related classes of complex network that can be approximated by an evolutionary network with an associated exponential degree distribution. The characteristic high connectivity but low maximum vertex degree of these networks provides robustness to random attack, although one of the two classes is noticeably more vulnerable to targeted attack.

Suggested Citation

  • Angeloudis, Panagiotis & Fisk, David, 2006. "Large subway systems as complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 553-558.
    • Handle: RePEc:eee:phsmap:v:367:y:2006:i:c:p:553-558
    DOI: 10.1016/j.physa.2005.11.007
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