Percolation of partially interdependent networks under targeted attack

Details Percolation of partially interdependent networks under targeted attack Percolation of partially interdependent networks under targeted attack

2011-08-30

arxiv.org/abs/1108.5788v1

Physics

Data Analysis, Statistics and Probability

6 pages, 9 figures

Scientific paper

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 $\alpha=0$ and $\alpha=1$, the percolation law is presented. Especially, when $a=b=k$, $p_{1}=p_{2}=p$, $q_{A}=q_{B}=q$, 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 $p_{1}$. However, for different $\alpha$, the tendency of critical line is monotone increasing with $\alpha$. In a larger sense, our findings have potential application for designing networks with strong robustness and can regulate the robustness of some current networks.

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