Robustness of complex networks to cascading failures induced by Poisson fluctuating loads

Zhenpeng Li and Xijin Tang

Physica A: Statistical Mechanics and its Applications, 2019, vol. 536, issue C

Abstract: Considering the fact that overload failures in real-world functional networks are usually caused by extreme values of temporally fluctuating loads that exceed the allowable range, we study the robustness of complex networks against cascading overload failures in such situation. In our model, at each cascading step the fluctuating load on a network is described by the total number of walkers, which is a random number that subjects to Poisson distribution. And a node fails when its overload probability is beyond its risk tolerance. Relative size of the giant component as a function of the cascade step is used to assess the robustness of networks against cascading overload.

Keywords: Cascading failure; Random overload fluctuations; Risk tolerance; Complex networks (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:536:y:2019:i:c:s0378437119304492

DOI: 10.1016/j.physa.2019.04.084

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