The implementation of NSA: "Neighbor Similarity Based Agglomerative Method for Community Detection in Networks".
If you find this method helpful for your research, please cite this paper.
@article{cheng2019neighbor,
title={Neighbor similarity based agglomerative method for community detection in networks},
author={Cheng, Jianjun and Su, Xing and Yang, Haijuan and Li, Longjie and Zhang, Jingming and Zhao, Shiyan and Chen, Xiaoyun},
journal={Complexity},
volume={2019},
year={2019},
publisher={Hindawi}
}
Requirement
The code of NSA has been tested running under Python 3.7.6, with the following packages installed (along with their dependencies):
- networkx == 2.4
- numpy == 1.18.1
Data Format
The input file for NSA is in .net format. A sample of datasets is given (dataset sample/karate.net).
Disclaimer
If you find any bugs, please report them to me [email protected].