Trapping in complex networks
arXiv:0808.1736 · doi:10.1209/0295-5075/84/40008
Abstract
We investigate the trapping problem in Erdos-Renyi (ER) and Scale-Free (SF) networks. We calculate the evolution of the particle density of random walkers in the presence of one or multiple traps with concentration . We show using theory and simulations that in ER networks, while for short times , for longer times exhibits a more complex behavior, with explicit dependence on both the number of traps and the size of the network. In SF networks we reveal the significant impact of the trap's location: is drastically different when a trap is placed on a random node compared to the case of the trap being on the node with the maximum connectivity. For the latter case we find $ρ(t)\propto\exp\left[-At/N^\frac{γ-2}{γ-1}\av{k}\right]$ for all , where is the exponent of the degree distribution .
Appendix added
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