Recent progress on cascading failures and recovery in interdependent networks

Jiazhe Li; Yan Wang; Shuhong Huang; Jiarong Xie; Louis Shekhtman; Yanqing Hu; Shlomo Havlin

doi:10.1016/j.ijdrr.2019.101266

Recent progress on cascading failures and recovery in interdependent networks

Jiazhe Li
, Yan Wang
, Shuhong Huang
, Jiarong Xie
, Louis Shekhtman
, Yanqing Hu
, Shlomo Havlin

Department of Physics - at Bar-Ilan University

Research output: Contribution to journal › Review article › peer-review

37 Scopus citations

Abstract

Complex networks have gained much attention in the past 20 years, with thousands of publications due to their broad interest and applicability. Studies initially focused on the functionality of isolated single networks. However, crucial communication systems, infrastructure networks and others are usually coupled together and can be modeled as interdependent networks, hence, since 2010 the focus has shifted to the study of the more general and realistic case of coupled networks, called Networks of Networks (NON). Due to interdependencies between the networks, NON can suffer from cascading failures leading to abrupt catastrophic collapse. In this review, using the perspective of statistical physics and network science, we will mainly discuss recent progress in understanding the robustness of NON having cascading failures features that are realistic for infrastructure networks. We also discuss in this review strategies of protecting and repairing NON.

Original language	English
Article number	101266
Journal	International Journal of Disaster Risk Reduction
Volume	40
DOIs	https://doi.org/10.1016/j.ijdrr.2019.101266
State	Published - Nov 2019

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Ltd

Funding

This work was partly supported by the Israel Ministry of Science and Technology with the Italian Ministry of Foreign Affairs , the Israel Ministry of Foreign Affairs with the Japan Science Foundation, the Israel Science Foundation , the Office of Naval Research Global , Defense Threat Reduction Agency Grant HDTRA-1-10-1- 0014 , the Army Research Office , the Binational Science Foundation with the National Science Foundation , and the Bar-Ilan University Center for Cybersecurity and Applied Cryptography project of Guangdong department , No. 2015KQNCX088 , No. 2017KZDXM054 . YH is supported by the NSFC , Grants No. U1711265 and No. 61773412 . This work was partly supported by the Israel Ministry of Science and Technology with the Italian Ministry of Foreign Affairs, the Israel Ministry of Foreign Affairs with the Japan Science Foundation, the Israel Science Foundation, the Office of Naval Research Global, Defense Threat Reduction Agency Grant HDTRA-1-10-1- 0014, the Army Research Office, the Binational Science Foundation with the National Science Foundation, and the Bar-Ilan University Center for Cybersecurity and Applied Cryptography project of Guangdong department, No. 2015KQNCX088, No. 2017KZDXM054. YH is supported by the NSFC, Grants No. U1711265 and No. 61773412.

Funders	Funder number
Bar-Ilan University Center for Cybersecurity and Applied Cryptography project of Guangdong department
Israel Ministry of Science and Technology
Japan Science Foundation
National Science Foundation
Army Research Office
Defense Threat Reduction Agency	HDTRA-1-10-1- 0014
Office of Naval Research Global
Japan Health Sciences Foundation
United States-Israel Binational Science Foundation
National Natural Science Foundation of China	61773412, U1711265
Israel Science Foundation
Ministry for Foreign Affairs
Ministry of science and technology, Israel
National Science Foundation
Center for Research in Applied Cryptography and Cyber Security, Bar-Ilan University	2015KQNCX088, 2017KZDXM054

Keywords

Cascading failures
Degree-correlations
Intersimilarity
Modularity structure
Network of networks (NON)
Protection
Spatially-embedded networks
Spontaneous recovery

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10.1016/j.ijdrr.2019.101266

Cite this

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abstract = "Complex networks have gained much attention in the past 20 years, with thousands of publications due to their broad interest and applicability. Studies initially focused on the functionality of isolated single networks. However, crucial communication systems, infrastructure networks and others are usually coupled together and can be modeled as interdependent networks, hence, since 2010 the focus has shifted to the study of the more general and realistic case of coupled networks, called Networks of Networks (NON). Due to interdependencies between the networks, NON can suffer from cascading failures leading to abrupt catastrophic collapse. In this review, using the perspective of statistical physics and network science, we will mainly discuss recent progress in understanding the robustness of NON having cascading failures features that are realistic for infrastructure networks. We also discuss in this review strategies of protecting and repairing NON.",

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Recent progress on cascading failures and recovery in interdependent networks

Abstract

Bibliographical note

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Keywords

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