Multi-Dimensional Fraud Detection Network Analysis

Create a comprehensive SQL-based fraud detection system that performs graph-like network analysis on financial transactions. Develop recursive queries that map transaction relationships, detect suspicious connection patterns, and calculate complex network metrics like centrality and community detection. The system must handle large-scale datasets, support real-time anomaly detection, and generate detailed forensic reports with statistical significance measurements.