journal article·2018-05-21Open access

On the Robustness of No-Feedback Interdependent Networks

Junde Wang, Songyang Lao, Shengjun Huang, Liang Bai, Lvlin Hou

Applied Sciences· Volume 8· Issue 5

Abstract

The continuous operation of modern society is dominated by interdependent networks, such as energy networks, communication networks, and traffic networks. As a result, the robustness of interdependent networks has become increasingly important in recent years. On the basis of past research, a no-feedback interdependent networks model is introduced. Compared with previous work, this model is more consistent with the characteristics of real interdependent systems. In addition, two types of failure modes, unilateral failure and bilateral failure, are defined. For each failure mode, the influence of coupling strength and dependency strength on the robustness of no-feedback interdependent networks was analyzed and discussed in relation to various giant component sizes. The simulation results indicated that the robustness of the no-feedback interdependent networks was inversely proportional to coupling strength and dependency strength, and the effect of coupling strength and dependency strength on the robustness was equivalent. These conclusions are beneficial for helping researchers and engineers to build more robust interdependent systems.
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Research context

OpenAlex topics: Complex Network Analysis Techniques · Ecosystem dynamics and resilience · Opinion Dynamics and Social Influence

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Systems Engineering, National University of Defense Technology, Changsha 410073, China

Joint Service College, National Defense University, Beijing 100858, China

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