G. Timár

Edge-based mean-field approximation of dynamics on networks via approximate lumping of Markov chains

A mathematically principled framework for deriving edge-based mean-field approximations for a broad class of Markov processes on networks using approximate lumping is presented, which yields density-dependent population processes that reduce to a low-dimensional system of ordinary differential equations.