Using a threshold model to study latency states in complex networks

Abstract

Many different systems present states of latency in their activity. In this work, we study how these latency states can appear in complex networks of interactions by running on them a dynamical threshold process to model activity. We find the thresholds values for what is most likely to find these states, the dependence with the network size and we make a brief description of how these systems develop. This work is an initial description of latency states in networks, which will be explored more in depth in future work.