Corruption and complexity: a scientific framework for the analysis of corruption networks

Abstract According to United Nations, corruption is a systemic and adaptive phenomenon that requires comprehensive and multidisciplinary approaches for its effective prevention and combat. However, traditional approaches lack the analytical tools to handle the structural and dynamical aspects that c...

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Main Authors: Issa Luna-Pla, José R. Nicolás-Carlock
Format: Article
Language:English
Published: SpringerOpen 2020-02-01
Series:Applied Network Science
Subjects:
Online Access:http://link.springer.com/article/10.1007/s41109-020-00258-2
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spelling doaj-b2fdc798264e487cbff8e20c91c38e092020-11-25T03:08:27ZengSpringerOpenApplied Network Science2364-82282020-02-015111810.1007/s41109-020-00258-2Corruption and complexity: a scientific framework for the analysis of corruption networksIssa Luna-Pla0José R. Nicolás-Carlock1Institute of Legal Research, National Autonomous University of MexicoInstitute of Legal Research, National Autonomous University of MexicoAbstract According to United Nations, corruption is a systemic and adaptive phenomenon that requires comprehensive and multidisciplinary approaches for its effective prevention and combat. However, traditional approaches lack the analytical tools to handle the structural and dynamical aspects that characterize modern social, political and technological systems where corruption takes place. On this matter, complex systems science has emerged as a comprehensive framework to study highly adaptive phenomena from natural to socio-technical settings. Thus, in this article we present an empirical approach to model corruption using the concepts and tools of complexity science, mainly, complex networks science. Under this framework, we describe a major corruption scandal that took place in Mexico involving a network of hundreds of shell companies used to embezzle billions of dollars. We describe the structure and dynamics of this corporate network using available information related to their personnel and the date of the companies’ creation. We measured some global parameters, such as density, diameter, average path length, and average degree in order to provide systematic evidence on which corporate characteristics are likely to signal corruption. Moreover, this analysis also provides an objective perspective of the systemic nature of events where companies are abused for corrupt purposes, and the shortcomings of reductionistic analyses. Major corruption scandals comprise both legal and illegal deeds, in addition to several parties acting simultaneously over extended time periods. As a whole, such scandals pose enormous challenges for the study of law and put the legal design of administrative and criminal controls to the test.http://link.springer.com/article/10.1007/s41109-020-00258-2Complex networksComplex systemsComplexityCorruptionCorruption networks
collection DOAJ
language English
format Article
sources DOAJ
author Issa Luna-Pla
José R. Nicolás-Carlock
spellingShingle Issa Luna-Pla
José R. Nicolás-Carlock
Corruption and complexity: a scientific framework for the analysis of corruption networks
Applied Network Science
Complex networks
Complex systems
Complexity
Corruption
Corruption networks
author_facet Issa Luna-Pla
José R. Nicolás-Carlock
author_sort Issa Luna-Pla
title Corruption and complexity: a scientific framework for the analysis of corruption networks
title_short Corruption and complexity: a scientific framework for the analysis of corruption networks
title_full Corruption and complexity: a scientific framework for the analysis of corruption networks
title_fullStr Corruption and complexity: a scientific framework for the analysis of corruption networks
title_full_unstemmed Corruption and complexity: a scientific framework for the analysis of corruption networks
title_sort corruption and complexity: a scientific framework for the analysis of corruption networks
publisher SpringerOpen
series Applied Network Science
issn 2364-8228
publishDate 2020-02-01
description Abstract According to United Nations, corruption is a systemic and adaptive phenomenon that requires comprehensive and multidisciplinary approaches for its effective prevention and combat. However, traditional approaches lack the analytical tools to handle the structural and dynamical aspects that characterize modern social, political and technological systems where corruption takes place. On this matter, complex systems science has emerged as a comprehensive framework to study highly adaptive phenomena from natural to socio-technical settings. Thus, in this article we present an empirical approach to model corruption using the concepts and tools of complexity science, mainly, complex networks science. Under this framework, we describe a major corruption scandal that took place in Mexico involving a network of hundreds of shell companies used to embezzle billions of dollars. We describe the structure and dynamics of this corporate network using available information related to their personnel and the date of the companies’ creation. We measured some global parameters, such as density, diameter, average path length, and average degree in order to provide systematic evidence on which corporate characteristics are likely to signal corruption. Moreover, this analysis also provides an objective perspective of the systemic nature of events where companies are abused for corrupt purposes, and the shortcomings of reductionistic analyses. Major corruption scandals comprise both legal and illegal deeds, in addition to several parties acting simultaneously over extended time periods. As a whole, such scandals pose enormous challenges for the study of law and put the legal design of administrative and criminal controls to the test.
topic Complex networks
Complex systems
Complexity
Corruption
Corruption networks
url http://link.springer.com/article/10.1007/s41109-020-00258-2
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