GEMFsim: A stochastic simulator for the generalized epidemic modeling framework

The recently proposed generalized epidemic modeling framework (GEMF) [1] 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 proces...

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Bibliographic Details
Published in:Journal of computational science 2017-09, Vol.22, p.36-44
Main Authors: Sahneh, Faryad Darabi, Vajdi, Aram, Shakeri, Heman, Fan, Futing, Scoglio, Caterina
Format: Article
Language:English
Subjects:
Complex networks
Epidemic spreading
Markov process
Simulation
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Summary:The recently proposed generalized epidemic modeling framework (GEMF) [1] 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.
ISSN:1877-7503
1877-7511
DOI:10.1016/j.jocs.2017.08.014