Small-World Networks of corruption

Collective behavior forms and spreads through social contact. This thesis introduces a framework for understanding how the structure of social ties may impact the evolution of bribery. We represent relationships as highly clustered networks with small characteristic path lengths (i.e., small-world m...

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Autores:
Morales, Pablo
Finke, Jorge
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad Santo Tomás
Repositorio:
Repositorio Institucional USTA
Idioma:
spa
OAI Identifier:
oai:repository.usta.edu.co:11634/41407
Acceso en línea:
https://revistas.usantotomas.edu.co/index.php/cife/article/view/3133
http://hdl.handle.net/11634/41407
Palabra clave:
Corruption
Local decision-making
Small-world networks
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License
http://purl.org/coar/access_right/c_abf2
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spelling Morales, PabloFinke, Jorge2022-01-18T20:32:59Z2022-01-18T20:32:59Z2016-07-11https://revistas.usantotomas.edu.co/index.php/cife/article/view/313310.15332/s0124-3551.2015.0026.01http://hdl.handle.net/11634/41407Collective behavior forms and spreads through social contact. This thesis introduces a framework for understanding how the structure of social ties may impact the evolution of bribery. We represent relationships as highly clustered networks with small characteristic path lengths (i.e., small-world models having “local” and “long-range” contacts). Based on a principal-agent-client formulation, our model focuses on the effects of clustering on an equilibrium of persistent bribery. Collective outcomes depend on decision-making mechanisms that rely on sensitivity functions, which capture the level of influence between local contacts. Moreover, we represent the evolution of the network as a system of differential equations and identify its region of parameters for which the equilibrium of persistent bribery is stable. Our results show that an increase in clustering tends to decrease the levels of bribery. A more sensitive response to the behavior of neighbors, on the other hand, tends to increase bribery, but only up to a certain point. Beyond this threshold, the expected level of bribery remains constant, despite variations in the structural properties of the network.application/pdfspaUniversidad Santo Tomáshttps://revistas.usantotomas.edu.co/index.php/cife/article/view/3133/3114Revista CIFE: Lecturas de Economía Social; Vol. 17 Núm. 26 (2015); 19-36Revista CIFE: Lecturas de Economía Social; Vol. 17 No. 26 (2015); 19-362248-49140124-3551Small-World Networks of corruptioninfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1CorruptionLocal decision-makingSmall-world networkshttp://purl.org/coar/access_right/c_abf211634/41407oai:repository.usta.edu.co:11634/414072023-07-14 15:30:53.746metadata only accessRepositorio Universidad Santo Tomásnoreply@usta.edu.co
dc.title.spa.fl_str_mv Small-World Networks of corruption
title Small-World Networks of corruption
spellingShingle Small-World Networks of corruption
Corruption
Local decision-making
Small-world networks
title_short Small-World Networks of corruption
title_full Small-World Networks of corruption
title_fullStr Small-World Networks of corruption
title_full_unstemmed Small-World Networks of corruption
title_sort Small-World Networks of corruption
dc.creator.fl_str_mv Morales, Pablo
Finke, Jorge
dc.contributor.author.none.fl_str_mv Morales, Pablo
Finke, Jorge
dc.subject.proposal.spa.fl_str_mv Corruption
Local decision-making
Small-world networks
topic Corruption
Local decision-making
Small-world networks
description Collective behavior forms and spreads through social contact. This thesis introduces a framework for understanding how the structure of social ties may impact the evolution of bribery. We represent relationships as highly clustered networks with small characteristic path lengths (i.e., small-world models having “local” and “long-range” contacts). Based on a principal-agent-client formulation, our model focuses on the effects of clustering on an equilibrium of persistent bribery. Collective outcomes depend on decision-making mechanisms that rely on sensitivity functions, which capture the level of influence between local contacts. Moreover, we represent the evolution of the network as a system of differential equations and identify its region of parameters for which the equilibrium of persistent bribery is stable. Our results show that an increase in clustering tends to decrease the levels of bribery. A more sensitive response to the behavior of neighbors, on the other hand, tends to increase bribery, but only up to a certain point. Beyond this threshold, the expected level of bribery remains constant, despite variations in the structural properties of the network.
publishDate 2016
dc.date.issued.none.fl_str_mv 2016-07-11
dc.date.accessioned.none.fl_str_mv 2022-01-18T20:32:59Z
dc.date.available.none.fl_str_mv 2022-01-18T20:32:59Z
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.drive.none.fl_str_mv info:eu-repo/semantics/article
dc.identifier.none.fl_str_mv https://revistas.usantotomas.edu.co/index.php/cife/article/view/3133
10.15332/s0124-3551.2015.0026.01
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11634/41407
url https://revistas.usantotomas.edu.co/index.php/cife/article/view/3133
http://hdl.handle.net/11634/41407
identifier_str_mv 10.15332/s0124-3551.2015.0026.01
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.usantotomas.edu.co/index.php/cife/article/view/3133/3114
dc.relation.citationissue.spa.fl_str_mv Revista CIFE: Lecturas de Economía Social; Vol. 17 Núm. 26 (2015); 19-36
dc.relation.citationissue.eng.fl_str_mv Revista CIFE: Lecturas de Economía Social; Vol. 17 No. 26 (2015); 19-36
dc.relation.citationissue.none.fl_str_mv 2248-4914
0124-3551
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Santo Tomás
institution Universidad Santo Tomás
repository.name.fl_str_mv Repositorio Universidad Santo Tomás
repository.mail.fl_str_mv noreply@usta.edu.co
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