This repository provides the code to accompany the AAMAS 2023 paper "The Grapevine Web: Analysing the Spread of False Information in Social Networks with Corrupted Sources" by Jacques Bara, Charlie Pilgrim, Paolo Turrini and Stanislav Zhydkov (https://dl.acm.org/doi/10.5555/3545946.3598900).
GrapevineModel.jl provides to back end code for the model and other functions used in the notebooks.
The main tutorial notebook is network_learning.ipynb.
Other notebooks provide experiments and analysis of model, including those included in the paper.
To run it you only need the following:
- Julia: https://julialang.org/downloads/
- Jupyter Notebook: https://jupyter.org/install
- IJulia package for Julia: https://datatofish.com/add-julia-to-jupyter/
Any issues should be directed to s.zhydkov@warwick.ac.uk.