Identifying Key Nodes in Criminal Networks Using GNN & Centrality

This research explores graph theory and advanced machine learning solutions to address rising complexity in organised crime networks. Utilising centrality metrics and ethical considerations, the study focuses on WA Police Force operational needs to identify influential nodes within criminal networks using predefined and open datasets. It aims to provide a robust framework for law enforcement, offering predictive accuracy and actionable insights while contributing to theoretical graph...