English

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 fcf_c under a general attack of the form fkkγf_k \sim k^{\gamma}, where fkf_k stands for the probability of a node of degree kk of being removed during the attack. We show that fcf_c of a finite network of size NN exhibits an additive correction which scales as N1N^{-1} with respect to the classical result for infinite networks.

Keywords

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}
}
R2 v1 2026-06-21T11:38:03.050Z