Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2008-08-12
Europhys. Lett. 84, 40008 (2008)
Physics
Condensed Matter
Disordered Systems and Neural Networks
Appendix added
Scientific paper
10.1209/0295-5075/84/40008
We investigate the trapping problem in Erdos-Renyi (ER) and Scale-Free (SF) networks. We calculate the evolution of the particle density $\rho(t)$ of random walkers in the presence of one or multiple traps with concentration $c$. We show using theory and simulations that in ER networks, while for short times $\rho(t) \propto \exp(-Act)$, for longer times $\rho(t)$ 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: $\rho(t)$ 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 $\rho(t)\propto\exp\left[-At/N^\frac{\gamma-2}{\gamma-1}\av{k}\right]$ for all $\gamma>2$, where $\gamma$ is the exponent of the degree distribution $P(k)\propto k^{-\gamma}$.
Argyrakis Panos
Carmi Shai
Havlin Shlomo
Kittas Aristotelis
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