An Approach for Addressing Internally-Disconnected Communities in Louvain Algorithm
<|reference_start|>An Approach for Addressing Internally-Disconnected Communities in Louvain Algorithm: Community detection is the problem of identifying densely connected clusters within a network. While the Louvain algorithm is commonly used for this task, it can produce internally-disconnected communities. To address this, the Leiden algorithm was introduced. This technical report introduces GSP-Louvain, a parallel algorithm based on Louvain, which mitigates this issue. Running on a system with two 16-core Intel Xeon Gold 6226R processors, GSP-Louvain outperforms Leiden, NetworKit Leiden, and cuGraph Leiden by 391x, 6.9x, and 2.6x respectively, processing 410M edges per second on a 3.8B edge graph. Furthermore, GSP-Louvain improves performance at a rate of 1.5x for every doubling of threads.<|reference_end|>
@article{sahu2024an,
    title={An Approach for Addressing Internally-Disconnected Communities in
  Louvain Algorithm},
    author={Subhajit Sahu},
    journal={arXiv preprint arXiv:2402.11454},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.11454},
    primaryClass={cs.DC cs.SI}
}