Louvain method

The Louvain method is a way to identify groups, or communities, within large networks by finding areas where nodes (things) are more densely connected to each other than to the rest of the network. It works by initially considering each node as its own community and then iteratively merging these communities to maximize a measure called modularity, which reflects the strength of the community structure. This process continues until no further improvements are possible, resulting in a clear division of the network into meaningful communities. It’s widely used for analyzing social networks, biological systems, and other complex interconnected data.