Computational Model Library

Network Behaviour Diffusion (version 1.0.0)

This model implements two types of network diffusion from an initial group of activated nodes. In complex contagion, a node is activated if the proportion of neighbour nodes that are already activated exceeds a given threshold. This is intended to represented the spread of health behaviours. In simple contagion, an activated node has a given probability of activating its inactive neighbours and re-tests each time step until all of the neighbours are activated. This is intended to represent information spread.

A range of networks are included with the model from secondary school friendship networks. The proportion of nodes initially activated and the method of selecting those nodes are controlled by the user.

Release Notes

Initial release as used in publications.

Download Version 1.0.0
Version Submitter First published Last modified Status
1.0.0 Jennifer Badham Sat Oct 2 22:44:08 2021 Sat Oct 2 22:44:08 2021 Published

Discussion

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