EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks

Python Submitted 20 August 2019Published 20 December 2019
Review

Editor: @lpantano (all papers)
Reviewers: @acolum (all reviews), @pholme (all reviews), @hagberg (all reviews)

Authors

Joel C. Miller (0000-0003-4426-0405), Tony Ting

Citation

Miller et al., (2019). EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks. Journal of Open Source Software, 4(44), 1731, https://doi.org/10.21105/joss.01731

@article{Miller2019, doi = {10.21105/joss.01731}, url = {https://doi.org/10.21105/joss.01731}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {44}, pages = {1731}, author = {Joel C. Miller and Tony Ting}, title = {EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks}, journal = {Journal of Open Source Software} }
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SIR SIS Epidemic Network Stochastic simulation

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ISSN 2475-9066