Analysis of overload-based cascading failure in multilayer spatial networks

• 作者: Lei Jin Mei Song Min Zhang Xiao-Juan Wang Zhong-Hua Liao
• 来源期刊: 中国物理B（英文版）
• 年，卷（期）: 2020,（9）
• 所属期刊栏目: CONDENSED MATTER: STRUCTURAL, MECHANICAL, AND THERMAL PROPERTIES
• 页码范围: 452-463
• 页数: 12页
• 语种: 英文
• DOI: 10.1088/1674-1056/aba275

摘要

Many complex networks in real life are embedded in space and most infrastructure networks are interdependent,such as the power system and the transport network.In this paper,we construct two cascading failure models on the multilayer spatial network.In our research,the distance l between nodes within the layer obeys the exponential distribution P(l) ～ exp(-l/ζ),and the length r of dependency link between layers is defined according to node position.An entropy approach is applied to analyze the spatial network structure and reflect the difference degree between nodes.Two metrics,namely dynamic network size and dynamic network entropy,are proposed to evaluate the spatial network robustness and stability.During the cascading failure process,the spatial network evolution is analyzed,and the numbers of failure nodes caused by different reasons are also counted,respectively.Besides,we discuss the factors affecting network robustness.Simulations demonstrate that the larger the values of average degree <k>,the stronger the network robustness.As the length r decreases,the network performs better.When the probability p is small,as ζ decreases,the network robustness becomes more reliable.When p is large,the network robustness manifests better performance as ζ increases.These results provide insight into enhancing the robustness,maintaining the stability,and adjusting the difference degree between nodes of the embedded spatiality systems.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Min Zhang		1	0	0.0	0.0
2	Xiao-Juan Wang		1	0	0.0	0.0
3	Lei Jin		1	0	0.0	0.0
4	Mei Song		1	0	0.0	0.0
5	Zhong-Hua Liao		1	0	0.0	0.0