Optimization of Network Robustness to Random Breakdowns
arXiv:cond-mat/0507249 · doi:10.1016/j.physa.2006.02.044
Abstract
We study network configurations that provide optimal robustness to random breakdowns for networks with a given number of nodes and a given cost--which we take as the average number of connections per node $\kav$. We find that the network design that maximizes , the fraction of nodes that are randomly removed before global connectivity is lost, consists of $q=[(\kav-1)/\sqrt\kav]\sqrt N$ high degree nodes (``hubs'') of degree $\sqrt{\kav N}$ and nodes of degree 1. Also, we show that approaches 0 as --faster than any other network configuration including scale-free networks. We offer a simple heuristic argument to explain our results.