Physics – Data Analysis – Statistics and Probability
Scientific paper
2008-11-04
B. Mitra, N. Ganguly, S. Ghose, and F. Peruani, Phys. Rev. E 78, 026115 (2008)
Physics
Data Analysis, Statistics and Probability
Scientific paper
10.1103/PhysRevE.78.026115
After a failure or attack the structure of a complex network changes due to node removal. Here, we show that the degree distribution of the distorted network, under any node disturbances, can be easily computed through a simple formula. Based on this expression, we derive a general condition for the stability of non-correlated finite complex networks under any arbitrary attack. We apply this formalism to derive an expression for the percolation threshold $f_c$ under a general attack of the form $f_k \sim k^{\gamma}$, where $f_k$ stands for the probability of a node of degree $k$ of being removed during the attack. We show that $f_c$ of a finite network of size $N$ exhibits an additive correction which scales as $N^{-1}$ with respect to the classical result for infinite networks.
Ganguly Niloy
Ghose Sujoy
Mitra Bivas
Peruani Fernando
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