beliefnet

A persistent repository where the scripts for the belief network project will be stored and shared

This repository hosts the main part of the code that led to the results in our paper Emergence of simple and complex contagion dynamics from weighted belief networks

BibTex:

@article{
aiyappa2024emergence,
author = {Rachith Aiyappa and Alessandro Flammini and Yong-Yeol Ahn},
title = {Emergence of simple and complex contagion dynamics from weighted belief networks},
journal = {Science Advances},
volume = {10},
number = {15},
pages = {eadh4439},
year = {2024},
doi = {10.1126/sciadv.adh4439},
URL = {https://www.science.org/doi/abs/10.1126/sciadv.adh4439},
eprint = {https://www.science.org/doi/pdf/10.1126/sciadv.adh4439}
}

Code to generate figures of the paper

Figure 2 of the main paper was obtained using a Python script scripts/stargraph.py
Figure 4, was obtained using a Julia script scripts/wattsstrogatz.jl since Python was extremely slow for our simulations
Figure 5, was obtained using a Julia script scripts/optimalmodularity.jl since Python was extremely slow for our simulations

Setting up

Steps to get the python scripts of this repo working

1. git clone git@github.com:rachithaiyappa/beliefnet.git
2. cd beliefnet
3. conda env create --name beliefnet --file=environment.yml
4. cd src
5. pip install -e .

These steps create the environment and install the belief network package which has some useful functions to do...stuff. Check out src/beliefet/model to know more.

Makefile coming up soon

Incase the environment.yml fails to build for you, the required packages in this repo are:

1. python = 3.7.9
2. numpy = 1.19.5
3. networkx = 2.5

However, I have tested the environment.yml on Linux and OSx machines. It builds. I'd avoid trying to set up your own environment from scratch. Incase the environment does not build because, for some reason, conda cannot fetch some of the packages listed in environment.yml, I'd suggest deleting those packages from the environment.yml and trying to rerun step 3 above.

Examples

An example script from which one run of Fig 2c. (orange) can be reproduced is shown in scripts/stargraph.py

Steps to get the julia scripts of this repo working

1. Download julia 1.4 and make sure you add it to your PATH environmental variable such that typing in julia from any directory in your terminal should call it
2. cd scripts
3. The command line call for each of the Julia scripts can be found in the script's description.