Criminal Network

Criminal network analysis aims to understand the structure and dynamics of illicit organizations to improve law enforcement strategies. Current research focuses on developing advanced computational models, including agent-based models and graph-based methods like PageRank and centrality measures, to identify key players, predict network evolution, and analyze the impact of interventions. These efforts leverage machine learning to analyze network structures, uncover hidden connections, and predict future criminal activities, ultimately enhancing investigative capabilities and informing crime prevention strategies.