Girvan-Newman Algorithm

The Girvan-Newman algorithm is a method for detecting communities within a network by identifying clusters of closely connected nodes. It works by computing the importance of each connection (edge) based on how many shortest paths pass through it, then gradually removing the most "important" edges. As these key edges are removed, the network breaks apart into smaller, more cohesive groups or communities. This process reveals the underlying social, biological, or information-based structures within the network, helping us understand how the network is organized and where natural divisions exist.