The Louvain Method is a popular algorithm for community detection in large networks, which optimizes modularity to identify clusters or communities within the network. It works in two phases: first, it assigns nodes to communities to maximize local modularity, and then it aggregates nodes into super-nodes, repeating the process until no further modularity gains are possible.