Modelamiento de redes sociales múltiples

Álvarez Monroy, Victor Nicolás

Modelamiento de redes sociales múltiples

dc.contributor.advisor	Sosa Martínez, Juan Camilo
dc.contributor.author	Álvarez Monroy, Victor Nicolás
dc.contributor.corporatename	Universidad Santo Tomás
dc.contributor.cvlac	https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000019698
dc.contributor.orcid	https://orcid.org/0000-0001-7432-4014
dc.date.accessioned	2021-02-03T16:36:26Z
dc.date.available	2021-02-03T16:36:26Z
dc.date.issued	2021-01-20
dc.description	En este trabajo se propone un modelo estadístico para caracterizar simultáneamente dos o más redes sociales, donde interactúan el mismo conjunto de actores. Además de investigar las relaciones dentro de las redes, el modelo propuesto permite extrapolar la información entre redes, con el fin de obtener mejores resultados en términos de bondad de ajuste y predicción. Esta propuesta se basa en una extensión jerárquica del modelo de espacio latente de distancias, que asume una posición social "global'' para cada actor, lo que permite estudiar de forma parsimoniosa los roles sociales desde varios puntos de vista. Las capacidades del modelo se ilustran utilizando varios conjuntos de datos reales, teniendo en cuenta diferentes tipos de relaciones.	spa
dc.description.abstract	In this work, we propose a statistical model to simultaneously characterize two or more social networks, where the same set of actors interact with each other. In addition to investigate ties within networks, the proposed model shares information among networks in order to obtain better results in terms of both goodness-of-fit and prediction. Our proposal is based on a hierarchical extension of the latent space distance model, by assuming a ``global'' social position for every actor, which allows us to study parsimoniously social roles from several perspectives. The capabilities of the model are illustrated using several real datasets, taking into account different types of relationships.	spa
dc.description.degreelevel	Maestría	spa
dc.description.degreename	Magister en Estadística Aplicada	spa
dc.description.domain	http://unidadinvestigacion.usta.edu.co	spa
dc.format.mimetype	application/pdf
dc.identifier.citation	Alvarez Monroy, V.N. (2021). Modelamiento de redes sociales múltiples. [Tesis de maestría, Universidad Santo Tomás Colombia]. Repositorio Institucional	spa
dc.identifier.instname	instname:Universidad Santo Tomás	spa
dc.identifier.reponame	reponame:Repositorio Institucional Universidad Santo Tomás	spa
dc.identifier.repourl	repourl:https://repository.usta.edu.co	spa
dc.identifier.uri	http://hdl.handle.net/11634/31872
dc.language.iso	spa
dc.publisher	Universidad Santo Tomás	spa
dc.publisher.branch	CRAI-USTA Bogotá	spa
dc.publisher.faculty	Facultad de Estadística	spa
dc.publisher.program	Maestría Estadística Aplicada	spa
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dc.rights	Atribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rights.accessrights	info:eu-repo/semantics/openAccess
dc.rights.coar	http://purl.org/coar/access_right/c_abf2
dc.rights.local	Abierto (Texto Completo)	spa
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subject.keyword	Markov Chain Monte Carlo	spa
dc.subject.keyword	Networks	spa
dc.subject.keyword	Bayesian statistics	spa
dc.subject.keyword	Latent space model	spa
dc.subject.keyword	Online social networks -- Users -- Statistics	spa
dc.subject.keyword	Latent variables	spa
dc.subject.keyword	Statistical models	spa
dc.subject.lemb	Redes sociales en línea	spa
dc.subject.lemb	Variables latentes	spa
dc.subject.lemb	Modelos estadísticos	spa
dc.subject.proposal	Cadena de Markov de Monte Carlo	spa
dc.subject.proposal	Estadística bayesiana	spa
dc.subject.proposal	Redes sociales	spa
dc.subject.proposal	Modelo de espacio latente	spa
dc.title	Modelamiento de redes sociales múltiples	spa
dc.type	master thesis
dc.type.category	Formación de Recurso Humano para la Ctel: Trabajo de grado de Maestría	spa
dc.type.coar	http://purl.org/coar/resource_type/c_bdcc
dc.type.coarversion	http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.drive	info:eu-repo/semantics/masterThesis
dc.type.local	Tesis de maestría	spa
dc.type.version	info:eu-repo/semantics/acceptedVersion