HeinDuijf / BoundedConfidenceModel

This is a repository on the bounded confidence model of opinion dynamics, as first put forward by Hegselmann & Krause. This repository contains code for the model and for some visualizations.

Opinion Dynamics: The Bounded Confidence Model

This is a repository on the bounded confidence model of opinion dynamics, as first put forward by Hegselmann & Krause. This repository contains code for the model and for some visualizations.

1. Setup

To run the project, you first need to install the required packages

pip install -r requirements.txt

2. The model model.py

The class BoundedConfidence in the module model.py is an implementation of the bounded confidence model.

3. Visualization visualize.py

The method visualize in the module visualize.py can be used to visualize the run of a bounded confidence model.

4. Figures figures.py

The module produces all the images that are relevant to the paper.

A. Licence and citation

This repository accompanies ongoing research. In the meantime, please cite as follows:

• Duijf, H. (2024). An implementation and visualization of the bounded confidence model. https://github.com/HeinDuijf/OpinionDynamicsHK

Released under the MIT licence.