Skip to main content

Simulation framework for agents connected in a (complex) network.

Project description

ComplexNetworkSim is a Python package for the simulation of agents connected in a complex network.

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 for the visualisations and optionally ImageMagick for animated .gif images.

Please see http://complexnetworksim.0sites.net/ for documentation on the project.

Please note that the documentation is not complete yet. I recommend installing the zip file (easy_install ComplexNetworkSim or pip install ComplexnetworkSim works also), as it contains some example simulations helpful until the documentation is more complete.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ComplexNetworkSim-0.1.1b.zip (4.3 MB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page