Corruption Networks

Concepts and Applications

Inbunden, Engelska, 2021

Av Oscar M. Granados, José R. Nicolás-Carlock, Jose R. Nicolas-Carlock

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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.

Produktinformation

Utgivningsdatum2021-09-25
Mått155 x 235 x 16 mm
Vikt436 g
FormatInbunden
SpråkEngelska
SerieUnderstanding Complex Systems
Antal sidor158
Upplaga21001
FörlagSpringer Nature Switzerland AG
ISBN9783030814830

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Oscar M. Granados is an associate professor in the Department of Economics and International Trade at Universidad Jorge Tadeo Lozano. His research interests are the interdisciplinary study of economic and financial issues from complexity science, network science, applied mathematics, and artificial intelligence perspectives. He holds a PhD in Social Science ( Computational Social Science emphasis) from Pontificia Universidad Javeriana for his transdisciplinary work about the global emergence of the computational financial ecosystem.José R. Nicolás-Carlock is a researcher interested in the interdisciplinary study of nature and society from the perspective of complexity science. He holds a PhD in Physics from the Autonomous University of Puebla, Mexico, for his theoretical work on universal fractal/non-fractal morphodynamics in nature. As a postdoctoral researcher at the Institute of Legal Research of the National Autonomous University of Mexico, he focusedon the empirical study of enforced disappearances and political corruption scandals in Mexico, under a data, networks and complex systems approach.

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.