IONTW

By Drew LaMar

College of William and Mary

Simulates both discrete and continuous time agent-based models of infectious disease dynamics on networks.

Launch Tool

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Archive Version 1.0
Published on 12 Feb 2015
Latest version: 1.1. All versions

Open source: license | download

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Abstract

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 that is included with the software package gives detailed instruction on how to enforce these and other options.

Cite this work

Researchers should cite this work as follows:

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

    BibTex | EndNote

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