Complexity science approach to economic crime

Abstract

In this comment we discuss how complexity science and network science are particularly useful for identifying and describing the hidden traces of economic misbehaviour such as fraud and corruption.

arXiv commentPreprint of published comment in Nat. Rev. Phys

References in corpus (3)

• Uncovering Offshore Financial Centers: Conduits and Sinks in the Global Corporate Ownership Network
• The dynamical structure of political corruption networks
• A network approach to cartel detection in public auction markets

Cited by in corpus (9)

• Machine Learning Partners in Criminal Networks
• Deep Learning Criminal Networks
• Scaling Behavior of Public Procurement Activity
• Organized crime behavior of shell-company networks in procurement: prevention insights for policy and reform
• Corruptomics
• Predicting COVID-19 Infections Using Multi-layer Centrality Measures in Population-scale Networks
• Universality of political corruption networks
• Bipartite structure and dynamics of political corruption networks
• Uncovering the Size of the Illegal Corporate Service Provider Industry in the Netherlands: a Network Approach