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Research on link addition strategies of interdependent networks under different coupling methods.

Authors :
Yin, Rongrong
Ma, Xuyao
Zhang, Kai
Li, Linhui
Wang, Yumeng
Source :
International Journal of Modern Physics C: Computational Physics & Physical Computation. Jun2024, p1. 20p. 12 Illustrations, 2 Charts.
Publication Year :
2024

Abstract

In interdependent networks, link addition strategies can enhance the connectivity of networks, thus improving robustness in the face of cascading failures. In this paper, first, interdependent networks models under various coupling methods and cascading failures model are proposed. Moreover, link addition strategies and node importance metrics are obtained. Finally, this paper analyzes the influence of link addition strategies and node importance metrics on robustness under three coupling methods. Besides, the effects of coupling ratio and link addition ratio on robustness in the interdependent network under different coupling methods are also analyzed. The simulation results show in partial coupled networks, intra-layer link addition strategy (Intra LAS) is more robust. In one-to-one coupled networks, inter-layer link addition strategy (Inter LAS) yields better performance in improving robustness when the number of initial attacked nodes is fewer, and intra-layer link addition strategy (Intra LAS) is more robust when more nodes are attacked initially. The effect of network size and the average degree of network on this result are also discussed. The variation trend of networks with multiple dependencies is similar to that of partial coupled network with high coupling rate, but it has less robust than partial coupled network. The conclusions can provide guidance on how to select link addition strategy and node importance metric under different coupling methods. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*ADDITION (Mathematics)

Details

Language :
English
ISSN :
01291831
Database :
Academic Search Index
Journal :
International Journal of Modern Physics C: Computational Physics & Physical Computation
Publication Type :
Academic Journal
Accession number :
177983332
Full Text :
https://doi.org/10.1142/s0129183124501602