The Louvain method for community detection is a greedy optimization method intended to extract non-overlapping communities from large networks created by Blondel et al. [1] from the …

Louvain Community Detection Algorithm is a simple method to extract the community structure of a network. This is a heuristic method based on modularity optimization.

Mar 21, 2022 · To maximize the modularity, Louvain’s algorithm has two iterative phases. The first phase assigns each node in the network to its own community. Then it tries to maximize …

The Louvain method is an algorithm to detect communities in large networks. It maximizes a modularity score for each community, where the modularity quantifies the quality of an …

Mar 27, 2025 · This paper gives a brief explanation of existing algorithms and approaches for community detection like Louvain, Kernighan-Lin, Girvan Neuman, Label Propagation and …

The Louvain method is a simple, efficient and easy-to-implement method for identifying communities in large networks. The method has been used with success for networks of many …

The Louvain algorithm is a widely used and and well-regarded method for community detection in graphs. It is named after the location of its authors - Vincent D. Blondel et al. from Université …

The Louvain algorithm is a hierarchical clustering method for detecting community structures within networks. A community is defined as a subset of nodes with dense internal connections …

Louvain’s algorithm is from the modularity maximization community detection family. It starts with each node in its own community, then uses a greedy approach to merge communities for the …

In conclusion, this report presents our parallel multicore imple-mentation of the Louvain algorithm — a high quality community detection method, which, as far as we are aware, stands as the …