Dynamical properties of model communication networks

Abstract

We study the dynamical properties of a collection of models for communication processes, characterized by a single parameter $ξ$ representing the relation between information load of the nodes and its ability to deliver this information. The critical transition to congestion reported so far occurs only for $ξ=1$. This case is well analyzed for different network topologies. We focus of the properties of the order parameter, the susceptibility and the time correlations when approaching the critical point. For $ξ<1$ no transition to congestion is observed but it remains a cross-over from a low-density to a high-density state. For $ξ>1$ the transition to congestion is discontinuous and congestion nuclei arise.