Journal ArticleDOI
Cascading effects in interdependent networks
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TLDR
Different models in the literature are reviewed to study the two types of cascading effects in interdependent networks, namely cascading failure in cyber-physical systems (CPS) and information cascade in coupled social networks.Abstract:
Modern systems are increasingly dependent upon and interacting with each other, and become interdependent networks. These interdependent networks may exhibit some interesting and even surprising behaviors due to the interdependency and the interplay between the constituent systems. In this article we focus on two important phenomena, namely cascading failure in cyber-physical systems (CPS) and information cascade in coupled social networks. Specifically, cascading failures may occur in CPS that exhibit functional interdependency between two constituent systems (e.g. smart grid); information cascade may happen in multiple social networks that are coupled together by so-called multi-membership individuals. This article explores these two types of cascading effects in interdependent networks by reviewing existing studies in the literature. We review different models in the literature to study the two types of cascading effects in interdependent networks, and highlight the key findings from these studies.read more
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References
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Journal ArticleDOI
Catastrophic cascade of failures in interdependent networks
Sergey V. Buldyrev,Sergey V. Buldyrev,Roni Parshani,Gerald Paul,H. Eugene Stanley,Shlomo Havlin +5 more
TL;DR: In this paper, the authors develop a framework for understanding the robustness of interacting networks subject to cascading failures and present exact analytical solutions for the critical fraction of nodes that, on removal, will lead to a failure cascade and to a complete fragmentation of two interdependent networks.
Journal ArticleDOI
Spread of epidemic disease on networks.
Mark Newman,Mark Newman +1 more
TL;DR: This paper shows that a large class of standard epidemiological models, the so-called susceptible/infective/removed (SIR) models can be solved exactly on a wide variety of networks.