Learning from sanctioned government suppliers: A machine learning and network science approach to detecting fraud and corruption in Mexico

Martí Medina-Hernández, Janos Kertész, Mihály Fazekas

Detecting fraud and corruption in public procurement remains a major challenge for governments worldwide. Most research to-date builds on domain-knowledge-based corruption risk ind…