Clique finding is a process in graph theory that identifies groups of nodes, or vertices, that are all directly connected to each other. These groups, known as cliques, represent tightly-knit communities within a larger network. For example, in social networks, a clique might consist of friends who all know each other. The goal of clique finding is to uncover these dense subgroups, which can reveal important patterns and relationships. Various algorithms exist for this purpose, such as the Bron-Kerbosch algorithm, which efficiently discovers all maximal cliques in a graph. This information can be useful in fields like sociology, biology, and computer science.