We are building a model that investigates how the tolerance for opinion difference and the recommender system influence the formation of opinion clusters and the emergence of echo chambers over time.
JavaScript library used in this example to render the network: d3.js.
To install the dependencies use pip and the requirements.txt in this directory. e.g.
pip install -r requirements.txt
To run the model interactively, run mesa runserver in this directory. e.g.
mesa runserver
Then open your browser to http://127.0.0.1:8521/ and press Reset, then Run.
or
Directly run the file run.py in the terminal. e.g.
python run.py
run.py: Launches a model visualization server.model.py: Contains the agent class, and the overall model class.server.py: Defines classes for visualizing the model (network layout) in the browser via Mesa's modular server, and instantiates a visualization server.
Deffuant, G., Neau, D., Amblard, F., and Weisbuch, G. (2000). Mixing beliefs among interacting agents. Adv. Comp. Syst., 03(01n04):87–98.