Dynamic_CommunityDetection_Benchmark

This is the CoD\AE N framework to generate Dynamic LFR Graphs, presented in CoDÆN: Benchmarks and Comparison of Evolutionary Community Detection Algorithms for Dynamic Networks. If you use this framework in your work, please cite the following paper:

@article{Paoletti2025CoDAEN,
  author    = {Giordano Paoletti and Luca Gioacchini and Marco Mellia and Luca Vassio and Jussara M. Almeida},
  title     = {{CoD{\AE}N}: Benchmarks and Comparison of Evolutionary Community Detection Algorithms for Dynamic Networks},
  journal   = {ACM Transactions on the Web},
  year      = {2025},
  volume    = {XX},
  number    = {X},
  pages     = {XX--XX},
  doi       = {10.1145/XXXXXXXXX},
  publisher = {ACM}
}

Folder Structure

• ./experiments: This folder contains all the scripts used to reproduce the synthetic experiments conducted for the paper. You can run these scripts to replicate the results discussed in the publication.

• ./src: This folder contains the full source code of the proposed benchmark.

• ./results: This folder is used to store the results by default.

Feel free to explore and adapt the provided scripts for your own experiments. If you have any questions, please reach out to us.