期刊
JOURNAL OF COMPUTATIONAL SCIENCE
卷 22, 期 -, 页码 36-44出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jocs.2017.08.014
关键词
Complex networks; Epidemic spreading; Markov process; Simulation
资金
- National Science Foundation [CIF-1423411]
- Division of Computing and Communication Foundations
- Direct For Computer & Info Scie & Enginr [1423411] Funding Source: National Science Foundation
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. (C) 2017 Elsevier B.V. All rights reserved.
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