Equivalence and its invalidation between non-Markovian and Markovian spreading dynamics on complex networks

Abstract

When modelling epidemic spreading on complex networks, one useful simplification is to assume that the dynamics are Markovian, i.e. memoryless. Here the authors present a more general non-Markovian approach which is able to accurately reproduce the transient and stationary regime on different substrates.