Fair-Influence-maximization

This is the accompanying code with the TKDE '21/ICDE'22/NeurIPS HCML '19 paper: https://ieeexplore.ieee.org/abstract/document/9576603

Please cite our paper if you use the code.

How to run the code

• It requires python 3.6 and NetworkX libarary.
• Run the fairnInfMaximizaiton.py file.
• Refer to config file for more configuration details.

Citation

@article{ali2021fairness, title={On the fairness of time-critical influence maximization in social networks}, author={Ali, Junaid and Babaei, Mahmoudreza and Chakraborty, Abhijnan and Mirzasoleiman, Baharan and Gummadi, Krishna P and Singla, Adish}, journal={IEEE Transactions on Knowledge and Data Engineering}, volume={35}, number={3}, pages={2875--2886}, year={2021}, publisher={IEEE} }