2024/02/18 by Sahu, Subhajit
#Distributed #FOS: Computer and information sciences #G.2.2 #I.5.3 #Parallel #Social and Information Networks (cs.SI) #and Cluster Computing (cs.DC)
paper · doi:10.48550/arxiv.2402.11454
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.