The geometry of suspicious money laundering activities in financial networks

La corrupción y la delincuencia organizada son problemas sociales que afectan a diferentes comunidades comunidades de todo el mundo, y afectan a organizaciones públicas y privadas de diversos sectores y actividades. sectores y actividades. Sin embargo, estos problemas son fenómenos globales que tras...

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Autores:
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
spa
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/32168
Acceso en línea:
https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-022-00318-w
http://hdl.handle.net/20.500.12010/32168
Palabra clave:
Servicios financieros
Delincuencia financiera
Finanzas
Servicios financieros
Rights
License
Abierto (Texto Completo)
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dc.title.spa.fl_str_mv The geometry of suspicious money laundering activities in financial networks
title The geometry of suspicious money laundering activities in financial networks
spellingShingle The geometry of suspicious money laundering activities in financial networks
Servicios financieros
Delincuencia financiera
Finanzas
Servicios financieros
title_short The geometry of suspicious money laundering activities in financial networks
title_full The geometry of suspicious money laundering activities in financial networks
title_fullStr The geometry of suspicious money laundering activities in financial networks
title_full_unstemmed The geometry of suspicious money laundering activities in financial networks
title_sort The geometry of suspicious money laundering activities in financial networks
dc.subject.spa.fl_str_mv Servicios financieros
Delincuencia financiera
topic Servicios financieros
Delincuencia financiera
Finanzas
Servicios financieros
dc.subject.lemb.spa.fl_str_mv Finanzas
Servicios financieros
description La corrupción y la delincuencia organizada son problemas sociales que afectan a diferentes comunidades comunidades de todo el mundo, y afectan a organizaciones públicas y privadas de diversos sectores y actividades. sectores y actividades. Sin embargo, estos problemas son fenómenos globales que trascienden las fronteras económicas culturales y sociales, especialmente cuando los corruptos utilizan el sistema financiero mundial para proteger su dinero ilegal. sistema financiero mundial para proteger su dinero ilegal. El objetivo de este artículo es evaluar mecanismo de blanqueo de capitales en las redes financieras, estudiando la estructura de algunos grupos sospechosos de blanqueo de capitales, y cómo podrían detectarse mediante el uso de consideraciones topológicas y geométricas que eviten la necesidad de una posible información posiblemente no disponible (o restringida).
publishDate 2022
dc.date.created.none.fl_str_mv 2022
dc.date.accessioned.none.fl_str_mv 2023-10-09T22:43:45Z
dc.date.available.none.fl_str_mv 2023-10-09T22:43:45Z
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dc.identifier.other.spa.fl_str_mv https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-022-00318-w
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12010/32168
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identifier_str_mv
url https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-022-00318-w
http://hdl.handle.net/20.500.12010/32168
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.references.spa.fl_str_mv UNODC: Money-Laundering and Globalization (2018) https://www.unodc.org/unodc/en/money-laundering/globalization.html Accessed 2020-09-30
Walker J (1999) How big is global money laundering? J Money Laund Control 3(1):25–37. https://doi.org/10.1108/eb027208
Masciandaro D, Takáts E, Unger B (2007) Black finance. Edward Elgar Publishing, Cheltenham
Schneider F (2010) Turnover of organized crime and money laundering: some preliminary empirical findings. Public Choice 144(3/4):473–486
McCarthy KJ, van Santen P, Fiedler I (2015) Modeling the money launderer: microtheoretical arguments on anti-money laundering policy. Int Rev Law Econ 43:148–155. https://doi.org/10.1016/j.irle.2014.04.006
Imanpour M, Rosenkranz S, Westbrock B, Unger B, Ferwerda J (2019) A microeconomic foundation for optimal money laundering policies. Int Rev Law Econ 60:105856. https://doi.org/10.1016/j.irle.2019.105856
Walker J, Unger B (2009) Measuring global money laundering: “the Walker gravity model”. Int Rev Law Econ 5
Dre˙zewski R, Sepielak J, Filipkowski W (2015) The application of social network analysis algorithms in a system supporting money laundering detection. Inf Sci 295:18–32. https://doi.org/10.1016/j.ins.2014.10.015
Colladon AF, Remondi E (2017) Using social network analysis to prevent money laundering. Expert Syst Appl 67:49–58. https://doi.org/10.1016/j.eswa.2016.09.029
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dc.format.extent.spa.fl_str_mv 19 páginas
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dc.publisher.spa.fl_str_mv EPJ Data Science
institution Universidad de Bogotá Jorge Tadeo Lozano
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spelling 2023-10-09T22:43:45Z2023-10-09T22:43:45Z2022https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-022-00318-whttp://hdl.handle.net/20.500.12010/32168La corrupción y la delincuencia organizada son problemas sociales que afectan a diferentes comunidades comunidades de todo el mundo, y afectan a organizaciones públicas y privadas de diversos sectores y actividades. sectores y actividades. Sin embargo, estos problemas son fenómenos globales que trascienden las fronteras económicas culturales y sociales, especialmente cuando los corruptos utilizan el sistema financiero mundial para proteger su dinero ilegal. sistema financiero mundial para proteger su dinero ilegal. El objetivo de este artículo es evaluar mecanismo de blanqueo de capitales en las redes financieras, estudiando la estructura de algunos grupos sospechosos de blanqueo de capitales, y cómo podrían detectarse mediante el uso de consideraciones topológicas y geométricas que eviten la necesidad de una posible información posiblemente no disponible (o restringida).#GeometriaCorruption and organized crime are social problems that affect different communities around the world, involving public and private organizations in diverse sectors and activities. However, these problems are global phenomena that transcend economic, cultural, and social borders, especially, when corrupt individuals use the global financial system to protect their illegal money. This paper aims to evaluate the money laundering mechanism in financial networks, studying the structure of some suspicious money laundering groups, and how they could be detected by the use of topological and geometrical considerations that avoid the need of possibly non-available (or restricted) information.19 páginasapplication/pdfspaEPJ Data ScienceServicios financierosDelincuencia financieraFinanzasServicios financierosThe geometry of suspicious money laundering activities in financial networksAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2UNODC: Money-Laundering and Globalization (2018) https://www.unodc.org/unodc/en/money-laundering/globalization.html Accessed 2020-09-30Walker J (1999) How big is global money laundering? J Money Laund Control 3(1):25–37. https://doi.org/10.1108/eb027208Masciandaro D, Takáts E, Unger B (2007) Black finance. Edward Elgar Publishing, CheltenhamSchneider F (2010) Turnover of organized crime and money laundering: some preliminary empirical findings. Public Choice 144(3/4):473–486McCarthy KJ, van Santen P, Fiedler I (2015) Modeling the money launderer: microtheoretical arguments on anti-money laundering policy. Int Rev Law Econ 43:148–155. https://doi.org/10.1016/j.irle.2014.04.006Imanpour M, Rosenkranz S, Westbrock B, Unger B, Ferwerda J (2019) A microeconomic foundation for optimal money laundering policies. Int Rev Law Econ 60:105856. https://doi.org/10.1016/j.irle.2019.105856Walker J, Unger B (2009) Measuring global money laundering: “the Walker gravity model”. Int Rev Law Econ 5Dre˙zewski R, Sepielak J, Filipkowski W (2015) The application of social network analysis algorithms in a system supporting money laundering detection. Inf Sci 295:18–32. https://doi.org/10.1016/j.ins.2014.10.015Colladon AF, Remondi E (2017) Using social network analysis to prevent money laundering. Expert Syst Appl 67:49–58. https://doi.org/10.1016/j.eswa.2016.09.029http://purl.org/coar/resource_type/c_6501Granados, Oscar M.Vargas, AndrésORIGINALs13688-022-00318-w.pdfs13688-022-00318-w.pdfapplication/pdf4913686https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/32168/1/s13688-022-00318-w.pdf2b739ffef7406ed61c4dae90248c3f76MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/32168/2/license.txtbaba314677a6b940f072575a13bb6906MD52open accessTHUMBNAILs13688-022-00318-w.pdf.jpgs13688-022-00318-w.pdf.jpgIM Thumbnailimage/jpeg20996https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/32168/3/s13688-022-00318-w.pdf.jpg96b14e194d0f2d95d2d1e2cb6dc15027MD53open access20.500.12010/32168oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/321682023-10-10 10:03:35.338open accessRepositorio Institucional - Universidad Jorge Tadeo Lozanoexpeditiorepositorio@utadeo.edu.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