Generalized theory for node disruption in finite size complex networks
Data Analysis, Statistics and Probability
2009-11-13 v1 Disordered Systems and Neural Networks
Abstract
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 under a general attack of the form , where stands for the probability of a node of degree of being removed during the attack. We show that of a finite network of size exhibits an additive correction which scales as with respect to the classical result for infinite networks.
Cite
@article{arxiv.0811.0513,
title = {Generalized theory for node disruption in finite size complex networks},
author = {Bivas Mitra and Niloy Ganguly and Sujoy Ghose and Fernando Peruani},
journal= {arXiv preprint arXiv:0811.0513},
year = {2009}
}