English

Limited path percolation in complex networks

Statistical Mechanics 2009-11-13 v1 Disordered Systems and Neural Networks

Abstract

We study the stability of network communication after removal of q=1pq=1-p links under the assumption that communication is effective only if the shortest path between nodes ii and jj after removal is shorter than aij(a1)a\ell_{ij} (a\geq1) where ij\ell_{ij} is the shortest path before removal. For a large class of networks, we find a new percolation transition at p~c=(κo1)(1a)/a\tilde{p}_c=(\kappa_o-1)^{(1-a)/a}, where κo<k2>/<k>\kappa_o\equiv < k^2>/< k> and kk is the node degree. Below p~c\tilde{p}_c, only a fraction NδN^{\delta} of the network nodes can communicate, where δa(1logp/log(κo1))<1\delta\equiv a(1-|\log p|/\log{(\kappa_o-1)}) < 1, while above p~c\tilde{p}_c, order NN nodes can communicate within the limited path length aija\ell_{ij}. Our analytical results are supported by simulations on Erd\H{o}s-R\'{e}nyi and scale-free network models. We expect our results to influence the design of networks, routing algorithms, and immunization strategies, where short paths are most relevant.

Cite

@article{arxiv.cond-mat/0702691,
  title  = {Limited path percolation in complex networks},
  author = {Eduardo López and Roni Parshani and Reuven Cohen and Shai Carmi and Shlomo Havlin},
  journal= {arXiv preprint arXiv:cond-mat/0702691},
  year   = {2009}
}

Comments

11 pages, 3 figures, 1 table