ComplexNetworkSim is a Python module 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.
Please see http://complexnetworksim.0sites.net/ for documentation on the project.