EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks
Quantitative Methods
2020-01-22 v2 Physics and Society
Abstract
We provide a description of the Epidemics on Networks (EoN) python package designed for studying disease spread in static networks. The package consists of over methods available for users to perform stochastic simulation of a range of different processes including SIS and SIR disease, and generic simple or comlex contagions.
Cite
@article{arxiv.2001.02436,
title = {EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks},
author = {Joel C. Miller and Tony TIng},
journal= {arXiv preprint arXiv:2001.02436},
year = {2020}
}
Comments
This paper is available in a shorter form without examples at https://joss.theoj.org/papers/10.21105/joss.01731.pdf