Dynamic Community Detection

Dynamic community detection is the task of identifying and tracking the evolution of community structures in dynamic networks over time. Its goal is to capture the evolutionary process of communities, including their formation, merging, splitting, and disappearance. This task is of significant application value for understanding dynamic behaviors and patterns of relationships in complex networks and is widely used in social network analysis, information propagation research, and cybersecurity, among other fields.