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Summary
This PR adds a new example model titled "Disease on Network". It simulates the spread of an infectious disease through a social network.
Motive
The main characteristic of this model implementation is the dynamic link status between each PersonAgent. The simulation shows how self isolation policies can reduce the impact of spreading diseases.
Implementation
The model is defined on a Erdős–Rényi random graph, where each agent on a node can interact with a certain subset of the graph. Each agent, depending on the advancement of the disease, can close its link with its nerighbors, reducing the risk of transmission.
Usage Examples
To run the example usage do
To run the interactive Solara simulation please do
Additional Notes
This model is very simple yet capable of showing the results of real world policies. There are many ways to improve it, from multiple self isolation policies to multiple social network possibilities.