Abstract

In real-world scenarios, networks do not exist in isolation but coupled together in different ways, including dependent, multi-support, and inter-connected patterns. And, when a coupled network suffers from structural instability or dynamic perturbations, the system with different coupling patterns shows rich phase transition behaviors. In this review, we present coupled network models with different coupling patterns developed from real scenarios in recent years for studying the system robustness. For the coupled networks with different coupling patterns, based on the network percolation theory, this paper mainly describes the influence of coupling patterns on network robustness. Moreover, for different coupling patterns, we here show readers the research background, research context, and the latest research results and applications. Furthermore, different approaches to improve system robustness with various coupling patterns and future possible research directions for coupled networks are explained and considered.

Highlights

  • With the significant improvement of the ability of high-performance computer clusters, the in-depth study of cloud storage and computing, internet of things application, and pervasive mobile internet, the amount of data about people’s livelihood is increasing and available [1, 2]

  • We will focus on recent studies in robustness of coupled network with different coupling patterns to learn more about the subject for more readers

  • Based on dependency relationship between a power network and an Internet network were implicated in an electrical blackout that occurred in Italy, Buldyrev et al proposed a fully interdependent network model, in which the coupling pattern means one-to-one interdependence of nodes within two networks [18]

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Summary

A Briefing Survey on Advances of Coupled Networks With Various Patterns

Reviewed by: Xiaoke Xu, Dalian Nationalities University, China Xiaoke Ma, Xidian University, China. Briefing Survey on Advances of Coupled Networks With Various Patterns. In real-world scenarios, networks do not exist in isolation but coupled together in different ways, including dependent, multi-support, and inter-connected patterns. When a coupled network suffers from structural instability or dynamic perturbations, the system with different coupling patterns shows rich phase transition behaviors. We present coupled network models with different coupling patterns developed from real scenarios in recent years for studying the system robustness. For different coupling patterns, we here show readers the research background, research context, and the latest research results and applications. Different approaches to improve system robustness with various coupling patterns and future possible research directions for coupled networks are explained and considered

INTRODUCTION
ONE-TO-ONE DEPENDENCY COUPLED PATTERN
COUPLED PATTERN WITH MULTIPLE-SUPPORT RELATIONSHIP
INTERCONNECTED NETWORK
DISCUSSION
CONCLUSION
Full Text
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