Random walk with priorities in communication-like networks
Abstract
We study a model for a random walk of two classes of particles (A and B). Where both species are present in the same site, the motion of A's takes precedence over that of B's. The model was originally proposed and analyzed in Maragakis et al., Phys. Rev. E 77, 020103 (2008); here we provide additional results. We solve analytically the diffusion coefficients of the two species in lattices for a number of protocols. In networks, we find that the probability of a B particle to be free decreases exponentially with the node degree. In scale-free networks, this leads to localization of the B's at the hubs and arrest of their motion. To remedy this, we investigate several strategies to avoid trapping of the B's: moving an A instead of the hindered B; allowing a trapped B to hop with a small probability; biased walk towards non-hub nodes; and limiting the capacity of nodes. We obtain analytic results for lattices and networks, and discuss the advantages and shortcomings of the possible strategies.
Cite
@article{arxiv.1306.4854,
title = {Random walk with priorities in communication-like networks},
author = {Nikolaos Bastas and Michalis Maragakis and Panos Argyrakis and Daniel ben-Avraham and Shlomo Havlin and Shai Carmi},
journal= {arXiv preprint arXiv:1306.4854},
year = {2015}
}
Comments
12 pages, 11 figures