by Uthsav Chitra and Christopher Musco
Code accompanying the paper Understanding Filter Bubbles and Polarization in Social Networks, presented at the KDD WISDOM 2019 workshop.
understanding-filter-bubbles-code.ipynb
is a Jupyter notebook containing the scripts used to produce the figures in the paper.
Dependencies:
- Python 3
- Numpy version 1.16.3
- Matplotlib version 3.0.3
- Scipy version 1.2.1
- NetworkX version 2.3
- Gurobi version 8.1.1 [Note: Gurobi needs a license to be run, but this license is free for academics]