//Pre-requisites to run CC-GA************/

1-install Python-3
2-install pyparsing package
3-install networkx==1.9

//run the algorithm using the following command*******/

run main.py -- i.e., python main.py

/* parameters setting and input networks can be provided in params.py file

/*****************/The algorithm will produce three types of files*************/

1- "results.csv" contains the parameter setting and resulted modularities
2- "network_name.gml" a gml files contains the community structure of the network
3 -"network_name.text" contains list of communities discoverd by CC-GA under gml directory

Please cite our paper if you are using this source code in your project.

@article{said2018cc,
title={CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks},
author={Said, Anwar and Abbasi, Rabeeh Ayaz and Maqbool, Onaiza and Daud, Ali and Aljohani, Naif Radi},
journal={Applied Soft Computing},
volume={63},
pages={59--70},
year={2018},
publisher={Elsevier}
}
Link to the paper: https://www.sciencedirect.com/science/article/abs/pii/S1568494617306774