Effects of group size distribution on cascading failure in partially interdependent networks

Yao Lu, Yanyan Chen, Jie Xiong, Ning Chen, Bin Zhou and Xuzhen Zhu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 534, issue C

Abstract: Cascading failures on interdependent networks has attracted much attention in the field of network science. However, the effects of the distribution of group size on cascading failures still puzzled us. In this paper, we propose a cascading failure model on two-layered partially interdependent networks with groups, in which all nodes in the same group are functional dependent on each other. A percolation theory is developed to investigate the final giant component, and the theory well agrees with numerical simulations. Through extensive numerical simulations and theoretical analyses, we find a discontinuous phase transition in the system. In addition, the final giant component increases with the heterogeneity of group size distribution, and the percolation threshold decreases with the heterogeneity of group size distribution. Furthermore, the phase transition is discontinuous for relatively strong dependency, while the phase transition is continuous for relatively weak dependency. The degree distribution of the interdependent networks does not qualitatively alter the above presented phenomena.

Keywords: Complex networks; Cascading failure; Group distribution; Interdependent networks (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119303036

DOI: 10.1016/j.physa.2019.03.068

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