Complex networks repair strategies: Dynamic models

Chaoqi Fu, Ying Wang, Yangjun Gao and Xiaoyang Wang

Physica A: Statistical Mechanics and its Applications, 2017, vol. 482, issue C, 401-406

Abstract: Network repair strategies are tactical methods that restore the efficiency of damaged networks; however, unreasonable repair strategies not only waste resources, they are also ineffective for network recovery. Most extant research on network repair focuses on static networks, but results and findings on static networks cannot be applied to evolutionary dynamic networks because, in dynamic models, complex network repair has completely different characteristics. For instance, repaired nodes face more severe challenges, and require strategic repair methods in order to have a significant effect. In this study, we propose the Shell Repair Strategy (SRS) to minimize the risk of secondary node failures due to the cascading effect. Our proposed method includes the identification of a set of vital nodes that have a significant impact on network repair and defense. Our identification of these vital nodes reduces the number of switching nodes that face the risk of secondary failures during the dynamic repair process. This is positively correlated with the size of the average degree 〈k〉 and enhances network invulnerability.

Keywords: Complex networks; Cascading failure; Repair strategies; Coupling structures; Switching nodes (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:482:y:2017:i:c:p:401-406

DOI: 10.1016/j.physa.2017.04.118

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