Community detection, a concept traditionally rooted in network theory, has found significant applications in cancer research. In essence, it involves identifying clusters or groups within a network where members are more densely connected to each other than to members outside the group. In the context of cancer, community detection can help to identify distinct groups of genes, proteins, or cells that play critical roles in cancer development and progression.
