NetEffect: Discovery and Exploitation of Generalized Network Effects

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Lee, M. C., Shekhar, S., Yoo, J., & Faloutsos, C. (2024, May). NetEffect: Discovery and Exploitation of Generalized Network Effects. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2024.

Extended version with appendix:

https://arxiv.org/abs/2301.00270

Please cite the paper as:

@inproceedings{lee2024NetEffect,
  title={NetEffect: Discovery and Exploitation of Generalized Network Effects},
  author={Lee, Meng-Chieh and Shekhar, Shubhranshu and Yoo, Jaemin and Faloutsos, Christos},
  booktitle={Pacific-Asia Conference on Knowledge Discovery and Data Mining},
  year={2024},
  organization={Springer}
}

Data

The edge data for large graphs can be downloaded here.

Usage

1. To generate the C++ program for random walk, run the following command :

g++ -O3 -Wall -shared -std=c++11 -fPIC $(python3 -m pybind11 --includes) rwcpp.cpp -o rwcpp$(python3-config --extension-suffix)

2. Install all the Python packages in "requirements.txt":

pip install -r requirements.txt

3. Run the code with following command:

python main.py --dataset DATA