English

Percolation of partially interdependent networks under targeted attack

Data Analysis, Statistics and Probability 2015-05-30 v1 Physics and Society

Abstract

The study of interdependent networks, and in particular the robustness on networks, has attracted considerable attention. Recent studies mainly assume that the dependence is fully interdependent. However, targeted attack for partially interdependent networks simultaneously has the characteristics of generality in real world. In this letter, the comprehensive percolation of generalized framework of partially interdependent networks under targeted attack is analyzed. As α=0\alpha=0 and α=1\alpha=1, the percolation law is presented. Especially, when a=b=ka=b=k, p1=p2=pp_{1}=p_{2}=p, qA=qB=qq_{A}=q_{B}=q, the first and second lines of phase transition coincide with each other. The corresponding phase transition diagram and the critical line between the first and the second phase transition are found. We find that the tendency of critical line is monotone decreasing with parameter p1p_{1}. However, for different α\alpha, the tendency of critical line is monotone increasing with α\alpha. In a larger sense, our findings have potential application for designing networks with strong robustness and can regulate the robustness of some current networks.

Keywords

Cite

@article{arxiv.1108.5788,
  title  = {Percolation of partially interdependent networks under targeted attack},
  author = {Gao-Gao Dong and Jian-Xi Gao and Li-Xin Tian and Rui-Jin Du and Ying-Huan He},
  journal= {arXiv preprint arXiv:1108.5788},
  year   = {2015}
}

Comments

6 pages, 9 figures

R2 v1 2026-06-21T18:56:45.920Z