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Optimized inter-structure for enhancing the synchronizability of interdependent networks.

Authors :
Yang, Yong
Tu, Lilan
Li, Kuanyang
Guo, Tianjiao
Source :
Physica A. May2019, Vol. 521, p310-318. 9p.
Publication Year :
2019

Abstract

Abstract In this paper, how to optimize the inter-structures to enhance the synchronizability of interdependent networks is investigated. Based on a genetic algorithm (GA), combined with two fitness functions, a new method is presented that optimizes inter-structures to enhance the synchronizability of interdependent networks. For bounded and unbounded synchronous regions, when the number of inter-connections or the inter-coupling strength related to the inter-structures is changed, we apply the proposed method to optimize the two interdependent networks. The first network, namely NW–BA network, includes a small-world subnet generated by Newman–Watts algorithm and a Barabá si–Albert scale-free subnet. The second network, ST–BA network, includes a star subnet and a BA subnet. Generally, the analyses and numerical simulation results demonstrate the proposed optimization method performs well. According to the betweenness correlation defined in this paper, as the number of inter-connections increase, the optimized inter-structures experience a process that shifts a nearly positive correlation to irrelevance. However, increasing the inter-coupling strength gradually makes no difference on optimized inter-structures. Overall, the results indicate that NW–BA networks are a better choice for interdependent networks than the ST–BA networks. Highlights • A new method is presented to optimize the inter-structures. • An optimization scheme is proposed to enhance the synchronizability of interdependent networks. • The optimization scheme performs well on two kinds of interdependent networks. • The betweenness correlation is defined in this paper. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03784371
Volume :
521
Database :
Academic Search Index
Journal :
Physica A
Publication Type :
Academic Journal
Accession number :
135105191
Full Text :
https://doi.org/10.1016/j.physa.2019.01.082