The Girvan-Newman Algorithm is a method for detecting communities within a network by iteratively removing edges with the highest betweenness centrality, eventually fragmenting the network into distinct groups. It is particularly useful for understanding the structure of complex networks by identifying clusters of nodes that are more densely connected internally than with the rest of the network.