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ComplexNetworkSim is a Python package for the simulation of agents
connected in a complex network.
Update February 2014: code is now available on github for you to fork if you want to, here: https://github.com/jschaul/ComplexNetworkSim
The framework can can create a virtual complex network with virtual agents
that can interact with each other. This can be used for example to study
the spread of an epidemic over this simulated network and compare it
with a phenomenon in the real world. Agent-based simulation tools
generally operate on a simple topology such as grids or lattices, but
this framework goes beyond this limitation by providing support for
simulation over complex topologies (i.e. any kind of non-regularly
connected graph). In addition, this project is not
limited to a static network, but also takes into account temporal
networks, where processes can dynamically change the underlying network
structure over time.
The package requires `NetworkX`_ and `SimPy`_ to run simulations. It also requires
`matplotlib`_ (and `NumPy`_) for the visualisations and optionally `ImageMagick`_ for animated .gif images.
Please see http://packages.python.org/ComplexNetworkSim for documentation, installation instructions, background information and how to get started using this package.
.. _SimPy: http://simpy.sourceforge.net/
.. _NetworkX: http://networkx.lanl.gov/
.. _ImageMagick: http://www.imagemagick.org/
.. _NumPy: http://sourceforge.net/projects/numpy/files/NumPy/
.. _matplotlib: http://sourceforge.net/projects/matplotlib/files/matplotlib/