GEMFsim: A Stochastic Simulator for the Generalized Epidemic Modeling Framework

2016/04/07 by Sahneh, Faryad Darabi, Vajdi, Aram, Shakeri, Heman +2
#Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)

paper · doi:10.48550/arxiv.1604.02175

Abstract

The recently proposed generalized epidemic modeling framework (GEMF) \citesahneh2013generalized lays the groundwork for systematically constructing a broad spectrum of stochastic spreading processes over complex networks. This article builds an algorithm for exact, continuous-time numerical simulation of GEMF-based processes. Moreover the implementation of this algorithm, GEMFsim, is available in popular scientific programming platforms such as MATLAB, R, Python, and C; GEMFsim facilitates simulating stochastic spreading models that fit in GEMF framework. Using these simulations one can examine the accuracy of mean-field-type approximations that are commonly used for analytical study of spreading processes on complex networks.

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