epydemic: Epidemic simulations on networks in Python
epydemic is a Python library that implements simulations of epidemic
(and other) processes on networks. Epidemic processes are very
important in both network science and its applications. The most
common application is to study the ways in which diseases progress in
different network conditions, depending on their infectiousness and
epydemic provides simulation under synchronous and stochastic (Gillespie) dynamics,
using the well-known
networkx package to represent and manipulate
networks. It supports a generic model for compartmented models of
disease with several standard models provided and which can be
extended to other, more complex, diseases. It also supports other
network processes such as addition-deletion networks.
epydemic is built on top of the
epyc experiment management library,
allowing simulations to be conducted at scale on individual machines,
multicore machines, and parallel computing clusters.
You can install
epydemic directly from PyPi using
pip install epydemic
The master distribution of
epydemic is hosted on GitHub. To obtain a
copy, just clone the repo:
git clone firstname.lastname@example.org:simoninireland/epydemic.git cd epydemic python setup.py install
API documentation for epydemic is available on ReadTheDocs (please note the slightly different project name).
Author and license
Copyright (c) 2017-2020, Simon Dobson <email@example.com>
Licensed under the GNU General Public License v2 or later (GPLv2+).