Remove-Malicious-Nodes-from-Networks

Code to replicate the experimental results in paper "Remove Malicious Nodes from Networks" @ AAMAS 2019

Installation

You need Python3.7 and conda to install required packages.

1. First, clone the project folder to your computer.
2. Then, create a conda environment and activate it:

conda create -n MINT python=3.7
conda activate MINT

3. After the environment is activated, install the following required packages:

   conda install numpy scipy pandas scikit-learn seaborn matplotlib networkx 
   pip install cvxpy
   pip install cvxopt
   

Generate results

1. Inside the project folder, create a folder to store experimental outputs:

mkdir result/

2. Under the root directory of the project folder, run the following script to generate experimental results in the paper:

./exp.sh

3. After generating all the results, an IPython notebook named plot.ipynb in src/ is provided to draw the box plots in the paper.

Reference

@inproceedings{yu2019removing,
  title={Removing malicious nodes from networks},
  author={Yu, Sixie and Vorobeychik, Yevgeniy},
  booktitle={Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems},
  pages={314--322},
  year={2019},
  organization={International Foundation for Autonomous Agents and Multiagent Systems}
}