IONTW (Infection On NeTWorks) simulates both discrete and continuous time agent-based models of infectious disease dynamics on networks. It can simulate models of type SEIR, SIR, SEI, SI, SEIS, and SIS. 

Supported network types include: complete graphs, empty graphs, Erdös-Rényi, nearest-neighbor (1 and 2 dimensions), small world (1 and 2 dimensions), preferential attachment, generic scale-free, spatially clustered, random regular, trees, as well as approximately uniform realizations from custom degree sequences and custom distributions.

The Reference Guide (PDF/HTML) gives detailed instruction on how to enforce these and other options.

Researchers should cite this work as follows:

• Drew LaMar (2015), "IONTW," https://qubeshub.org/resources/iontw.

  BibTex | EndNote

1. agent-based model
2. epidemiology
3. infectious disease
4. markov chain model
5. monte carlo simulation
6. networks
7. Resources @ QUBES - Software