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Description
This book aims to gather the insight of leading experts on corruption and anti-corruption studies working at the scientific frontier of this phenomenon using the multidisciplinary tools of data and network science, in order to present current theoretical, empirical, and operational efforts being performed in order to curb this problem. The research results strengthen the importance of evidence-based approaches in the fight against corruption in all its forms, and foster the discussion about the best ways to convert the obtained knowledge into public policy.
The contributed chapters provide comprehensive and multidisciplinary approaches to handle the non-trivial structural and dynamical aspects that characterize the modern social, economic, political and technological systems where corruption takes place.
This book will serve a broad multi-disciplinary audience from natural to social scientists, applied mathematicians, including law and policymakers.
Table of Contents
Chapter 1. Corruption Networks: An Introduction.- Chapter 2. Social capital, corrupt networks, and network corruption.- Chapter 3. Social capital, corrupt networks, and network corruption.- Chapter 4. Predicting corruption convictions among Brazilian representatives through a voting-history based network.- Chapter 5. Networked Corruption Risks in European Defense Procurement.- Chapter 6. Identifying tax evasion in Mexico with tools from network science and machine learning.- Chapter 7. (The fight against) money laundering: it’s all about networks.- Chapter 8. Financial Networks and Structure of Global Financial Crime.- Chapter 9. Corruptomics.
