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Oscar M. Granados - Corruption Networks: Concepts and Applications

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Oscar M. Granados Corruption Networks: Concepts and Applications

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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. 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.

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Book cover of Corruption Networks Understanding Complex Systems Series - photo 1
Book cover of Corruption Networks
Understanding Complex Systems
Series Editors
Henry D. I. Abarbanel
Institute for Nonlinear Science, University of California, San Diego, La Jolla, CA, USA
Dan Braha
New England Complex Systems Institute, University of Massachusetts, Dartmouth, USA
Pter rdi
Center for Complex Systems Studies, Kalamazoo College, Kalamazoo, USA; Hungarian Academy of Sciences, Budapest, Hungary
Karl J. Friston
Institute of Cognitive Neuroscience, University College London, London, UK
Hermann Haken
Center of Synergetics, University of Stuttgart, Stuttgart, Germany
Viktor Jirsa
Centre National de la Recherche Scientifique (CNRS), Universit de la Mditerrane, Marseille, France
Janusz Kacprzyk
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Kunihiko Kaneko
Research Center for Complex Systems Biology, The University of Tokyo, Tokyo, Japan
Markus Kirkilionis
Mathematics Institute and Centre for Complex Systems, University of Warwick, Coventry, UK
Jrgen Kurths
Nonlinear Dynamics Group, University of Potsdam, Potsdam, Germany
Ronaldo Menezes
Department of Computer Science, University of Exeter, UK
Andrzej Nowak
Department of Psychology, Warsaw University, Warszawa, Poland
Hassan Qudrat-Ullah
School of Administrative Studies, York University, Toronto, Canada
Linda Reichl
Center for Complex Quantum Systems, University of Texas, Austin, USA
Peter Schuster
Theoretical Chemistry and Structural Biology, University of Vienna, Vienna, Austria
Frank Schweitzer
System Design, ETH Zrich, Zrich, Switzerland
Didier Sornette
Entrepreneurial Risk, ETH Zrich, Zrich, Switzerland
Stefan Thurner
Section for Science of Complex Systems, Medical University of Vienna, Vienna, Austria
Founding Editor
Scott Kelso
Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, USA

Springer Complexity is an interdisciplinary program publishing the best research and academic-level teaching on both fundamental and applied aspects of complex systemscutting across all traditional disciplines of the natural and life sciences, engineering, economics, medicine, neuroscience, social and computer science.

Complex Systems are systems that comprise many interacting parts with the ability to generate a new quality of macroscopic collective behavior the manifestations of which are the spontaneous formation of distinctive temporal, spatial or functional structures. Models of such systems can be successfully mapped onto quite diverse real-life situations like the climate, the coherent emission of light from lasers, chemical reaction-diffusion systems, biological cellular networks, the dynamics of stock markets and of the internet, earthquake statistics and prediction, freeway traffic, the human brain, or the formation of opinions in social systems, to name just some of the popular applications.

Although their scope and methodologies overlap somewhat, one can distinguish the following main concepts and tools: self-organization, nonlinear dynamics, synergetics, turbulence, dynamical systems, catastrophes, instabilities, stochastic processes, chaos, graphs and networks, cellular automata, adaptive systems, genetic algorithms and computational intelligence.

The three major book publication platforms of the Springer Complexity program are the monograph series Understanding Complex Systems focusing on the various applications of complexity, the Springer Series in Synergetics, which is devoted to the quantitative theoretical and methodological foundations, and the Springer Briefs in Complexity which are concise and topical working reports, case studies, surveys, essays and lecture notes of relevance to the field. In addition to the books in these two core series, the program also incorporates individual titles ranging from textbooks to major reference works.

Indexed by SCOPUS, INSPEC, zbMATH, SCImago.

More information about this series at http://www.springer.com/series/5394

Editors
Oscar M. Granados and Jos R. Nicols-Carlock
Corruption Networks
Concepts and Applications
1st ed. 2021
Logo of the publisher Editors Oscar M Granados Department of Economics - photo 2
Logo of the publisher
Editors
Oscar M. Granados
Department of Economics and International Trade, Universidad Jorge Tadeo Lozano, Bogot, Colombia
Jos R. Nicols-Carlock
Institute of Legal Research, National Autonomous University of Mexico, Mexico City, Mexico
ISSN 1860-0832 e-ISSN 1860-0840
Understanding Complex Systems
ISBN 978-3-030-81483-0 e-ISBN 978-3-030-81484-7
https://doi.org/10.1007/978-3-030-81484-7
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

For next generations free of corruption

Foreword

This book has brought together a diverse set of innovative scholars from political science, sociology, economics, physics, and mathematics using different methods ranging from qualitative to complexity science. A common thread among the contributions in this book the reader holds in her/his hands is that the network representations of social relations underlying corrupt transactions are crucial for understanding and countering the phenomenon. Corruption is rarely an isolated phenomenon representing an outlier against the background of generalized integrity, and, typically, various forms and manifestations of corruption are enabled by trust, mutual monitoring, and sanctioning, facilitated by a network of relationships. Network perspectives can be traced back to early efforts to define corruption as a transactional feature inherent in public service provision, government contracting, tax collection, or natural resource extraction. Additionally, organized crime research has long recognized the networked nature of corruption and how personal connections underpin the corrupt governance of organizations and markets. Thus, there is a growing recognition in different disciplines that corruption typically presents collective action dilemmas, and the sustainability of corrupt societal equilibria is maintained by norms and self-reinforcing expectations. Network analysis of corrupt phenomena holds the key to better understanding their drivers and designing effective anticorruption policies. Furthermore, these perspectives are indispensable as they allow for linking individual corrupt relationships and transactions to meso and macro behavior. Even though research and public policy advice have been interested in macro-level analysis and predominantly focused on fighting corruption on the country level, they often lacked the micro-foundations leading to incomplete conclusions and ill-informed policy recipes. In the last decade, this situation has changed with growing attention paid to local and sectoral corrupt phenomena and the tailored tools effectively fighting corruption in context. However, the disconnect between the micro and macro has neglected, calling for novel methods and approaches capable of filling this void. Network analysis of corruption dares both to address the micro-phenomena in its context but also aims to draw macro-relevant conclusions, hence it could be the method, at least partially, which fills this void.

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