Spatio-temporal propagation of cascading overload failures in spatially embedded networks

Jichang Zhao, Daqing Li (), Hillel Sanhedrai, Reuven Cohen and Shlomo Havlin
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Jichang Zhao: School of Economics and Management, Beihang University
Daqing Li: School of Reliability and Systems Engineering, Beihang University
Hillel Sanhedrai: Bar-Ilan University
Reuven Cohen: Bar-Ilan University
Shlomo Havlin: Bar-Ilan University

Nature Communications, 2016, vol. 7, issue 1, 1-6

Abstract: Abstract Different from the direct contact in epidemics spread, overload failures propagate through hidden functional dependencies. Many studies focused on the critical conditions and catastrophic consequences of cascading failures. However, to understand the network vulnerability and mitigate the cascading overload failures, the knowledge of how the failures propagate in time and space is essential but still missing. Here we study the spatio-temporal propagation behaviour of cascading overload failures analytically and numerically on spatially embedded networks. The cascading overload failures are found to spread radially from the centre of the initial failure with an approximately constant velocity. The propagation velocity decreases with increasing tolerance, and can be well predicted by our theoretical framework with one single correction for all the tolerance values. This propagation velocity is found similar in various model networks and real network structures. Our findings may help to predict the dynamics of cascading overload failures in realistic systems.

Date: 2016
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DOI: 10.1038/ncomms10094

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