Cascading failure and recovery of spatially interdependent networks

被引：51

作者：

Hong, Sheng ^{[1
]}

Zhu, Juxing ^{[1
]}

Braunstein, Lidia A. ^{[2
,3
]}

Zhao, Tingdi ^{[1
]}

You, Qiuju ^{[4
]}

机构：

[1] Beihang Univ, Sch Reliabil & Syst Engn, Sci & Technol Reliabil & Environm Engn Lab, 37 Xue Yuan Rd, Beijing 100191, Peoples R China

[2] Univ Nacl Mar del Plata, CONICET, Fac Ciencias Exactasy Nat, Inst Inveset Fis Mar del Plata IFIMAR,Dept Fis, RA-3350 Mar Del Plata, Buenos Aires, Argentina

[3] Boston Univ, Ctr Polymer Studies, Boston, MA 02215 USA

[4] Beijing Res Ctr Urban Syst Engn, Res Dept Urban Operta, Beijing 100089, Peoples R China

来源：

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT | 2017年

基金：

北京市自然科学基金;

关键词：

network reconstruction; critical phenomena of socio-economic systems; network dynamics; VULNERABILITY; PROPAGATION; MODEL;

D O I：

10.1088/1742-5468/aa8c36

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

Many real networks, such as infrastructure networks, are interdependent and their structure is influenced by spatial constraints. However, the existence of spatial constraints and dependency links makes the system more vulnerable to an initial random failure. In this paper, we model the interdependent network with the strength of embedding length.. We propose an effective recovery strategy which recovers the boundary of the failed nodes during the cascading of failures with probability gamma. We find that without changing the transition type, both the range and the duration of the cascading failure can be decreased by increasing.. Our model could be used to improve the robustness of real-world network systems.

引用

页数：9

共 29 条

[1] The extreme vulnerability of interdependent spatially embedded networks [J].