Pro ling of a network behind diffusion phenomena

Abstract

A method is presented to discover a network topology and transmission parameters behind an infectious disease outbreak from a given time sequence dataset. A likelihood function is derived analytically from the equations which describes the stochastic process for reaction and diffusion in a metapopulation network. The method is potentially applicable to discovering the networks which mediate the diffusion of rumors, information, new ideas, or influence.