Research on invulnerability of the random scale-free network against cascading failure

Rong-Rong Yin, Bin Liu, Hao-Ran Liu and Ya-Qian Li

Physica A: Statistical Mechanics and its Applications, 2016, vol. 444, issue C, 458-465

Abstract: The effect of structure parameters of random scale-free network on the network invulnerability for cascading failure is investigated by establishing a cascading failure model of random scale-free network based on node degree and analyzing the effect of node capacity on the cascading failure. The node capacity threshold is thus obtained. Furthermore, the relationship between the threshold of node capacity and the structure parameters of the network (the number of added edges per time slot and the power exponent) is established. The experimental results show that the structure parameters of the network are positively correlated with the network invulnerability for cascading failure. The more the number of added edges at a time and higher the power exponent, the stronger the network invulnerability for cascading failure.

Keywords: Random scale-free network; Cascading failure; Power exponent; Critical threshold (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:444:y:2016:i:c:p:458-465

DOI: 10.1016/j.physa.2015.08.017

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