Trapping in complex networks

dc.creatorKittas, Aristotelis
dc.creatorCarmi, Shai
dc.creatorHavlin, Shlomo
dc.creatorArgyrakis, Panos
dc.date2008-08-12
dc.date2008-11-17
dc.date.accessioned2026-07-07T10:18:18Z
dc.date.available2026-07-07T10:18:18Z
dc.descriptionWe investigate the trapping problem in Erdos-Renyi (ER) and Scale-Free (SF) networks. We calculate the evolution of the particle density $ρ(t)$ 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 $ρ(t) \propto \exp(-Act)$, for longer times $ρ(t)$ 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: $ρ(t)$ 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 $ρ(t)\propto\exp\left[-At/N^\frac{γ-2}{γ-1}\av{k}\right]$ for all $γ>2$, where $γ$ is the exponent of the degree distribution $P(k)\propto k^{-γ}$.
dc.descriptionAppendix added
dc.identifierhttps://arxiv.org/abs/0808.1736
dc.identifierhttp://arxiv.org/abs/0808.1736
dc.identifierEurophys. Lett. 84, 40008 (2008)
dc.identifierdoi:10.1209/0295-5075/84/40008
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/174143
dc.subjectDisordered Systems and Neural Networks
dc.subjectStatistical Mechanics
dc.titleTrapping in complex networks
dc.typetext

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