Reconstruction of stochastic temporal networks through diffusive arrival times

Abstract

Reconstruction of time-resolved interactions in networks is more challenging than for the time-independent case, as causal relations limit accessibility to empirical data. Here the authors propose a method based on first-arrival observations of a diffusion process to infer stochastic temporal networks.