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Understanding Filter Bubbles and Polarization in Social Networks

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]

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