dc.creatorJiménez, Diana Marcela
dc.creatorSalazar, Boris
dc.date.accessioned2022-07-01 14:04:06
dc.date.accessioned2022-09-09T21:19:26Z
dc.date.available2022-07-01 14:04:06
dc.date.available2022-09-09T21:19:26Z
dc.date.created2022-07-01 14:04:06
dc.date.created2022-09-09T21:19:26Z
dc.date.issued2022-07-01
dc.identifier10.18601/01245996.v24n47.04
dc.identifier2346-2450
dc.identifier0124-5996
dc.identifierhttps://bdigital.uexternado.edu.co/handle/001/12298
dc.identifierhttps://doi.org/10.18601/01245996.v24n47.04
dc.description.abstractEntre un 50% y un 60% de los trabajadores encuentran empleo con información que proporcionan amigos, familiares o conocidos. En una simulación en red, estudiamos cómo evoluciona el número de trayectorias por las que se transfiere información sobre vacantes cuando se suma un nuevo nodo, teniendo en cuenta su estatus laboral, su capital social y su decisión de ser o no intermediario. El número de esas trayectorias cae con el número de nuevos nodos, y también si son desempleados, tienen bajo capital social o no comparten la información sobre vacantes. Los desempleados se agrupan con sus iguales, y los empleados con los suyos. Por ello, la información sobre vacantes no se transfiere a grupos de desempleados, salvo que estén unidos por vínculos débiles, cuyo capital social los une con quienes son distintos.
dc.description.abstractBetween 50% and 60% of workers find jobs with information provided by friends, relatives, or acquaintances. In a network simulation, we study how the number of trajectories, through which vacancy information is transferred, evolves when a new node is added, taking into account their employment status, their social capital and their decision on whether or not to be an intermediary. The number of such trajectories falls with the number of new nodes, and also if they are unemployed, have low social capital or do not share vacancy information. The unemployed cluster with their peers, and the employed with their peers. Thus, vacancy information is not transferred to unemployed groups whose social capital links them with those who are different, unless they are connected by weak ties.
dc.languagespa
dc.publisherUniversidad Externado de Colombia
dc.relationhttps://revistas.uexternado.edu.co/index.php/ecoins/article/download/7959/11825
dc.relationNúm. 47 , Año 2022 : Julio-Diciembre
dc.relation115
dc.relation47
dc.relation89
dc.relation24
dc.relationRevista de Economía Institucional
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dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.rightsEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0
dc.rightsDiana Marcela Jiménez, Boris Salazar - 2022
dc.sourcehttps://revistas.uexternado.edu.co/index.php/ecoins/article/view/7959
dc.subjectnetworks, weak ties, vacancy information, social capital, labor status
dc.subjectD85, J64, J42, J64, C53
dc.subjectredes, vínculos débiles, información laboral, capital social, estatus laboral
dc.subjectD85, J64, J42, J64, C53
dc.subjectredes, laços fracos, informação trabalhista, capital social, status trabalhista
dc.subjectD85, J64, J42, J64, C53
dc.titleConexiones y capital social o por qué la información de vacantes no llega a quienes la necesitan
dc.typeArtículo de revista


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