Title of article :
Large subway systems as complex networks
Author/Authors :
Panagiotis Angeloudis، نويسنده , , David Fisk، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
Analysis of the worldʹs 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.
Journal title :
Physica A Statistical Mechanics and its Applications
Journal title :
Physica A Statistical Mechanics and its Applications