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dc.contributorEscuela Universitaria de Ciencias de la Saludes_ES
dc.contributor.authorBenítez Andrades, José Alberto 
dc.contributor.authorRodríguez González, Alejandro
dc.contributor.authorBenavides Cuéllar, María del Carmen 
dc.contributor.authorSánchez Valdeón, Leticia 
dc.contributor.authorGarcía Rodríguez, Isaías 
dc.contributor.otherEnfermeriaes_ES
dc.date2018
dc.date.accessioned2021-05-04T09:20:03Z
dc.date.available2021-05-04T09:20:03Z
dc.identifier.urihttp://hdl.handle.net/10612/13136
dc.description15 páginases_ES
dc.description.abstractSocial Network Analysis (SNA) is a set of techniques developed in the field of social and behavioral sciences research, in order to characterize and study the social relationships that are established among a set of individuals. When building a social network for performing an SNA analysis, an initial process of data gathering is achieved in order to extract the characteristics of the individuals and their relationships. This is usually done by completing a questionnaire containing different types of questions that will be later used to obtain the SNA measures needed to perform the study. There are, then, a great number of different possible network-generating questions and also many possibilities for mapping the responses to the corresponding characteristics and relationships. Many variations may be introduced into these questions (the way they are posed, the weights given to each of the responses, etc.) that may have an effect on the resulting networks. All these different variations are difficult to achieve manually, because the process is time-consuming and error-prone. The tool described in this paper uses semantic knowledge representation techniques in order to facilitate this kind of sensitivity studies. The base of the tool is a conceptual structure, called “ontology” that is able to represent the different concepts and their definitions. The tool is compared to other similar ones, and the advantages of the approach are highlighted, giving some particular examples from an ongoing SNA study about alcohol consumption habits in adolescents.es_ES
dc.languageenges_ES
dc.publisherMDPI15es_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMedicina. Saludes_ES
dc.subject.otherInvestigaciónes_ES
dc.subject.otherSocial network analysises_ES
dc.subject.otherSemantic knowledge representationes_ES
dc.subject.otherOntologyes_ES
dc.subject.otherSensitivity analysises_ES
dc.subject.otherAlcohol consumptiones_ES
dc.subject.otherConsumoes_ES
dc.subject.otherBebidas alcohólicases_ES
dc.subject.otherOntologíases_ES
dc.titleA semantic social network analysis tool for sensitivity analysis and what-If scenario testing in alcohol consumption studieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.3390/ijerph15112420
dc.description.peerreviewedSIes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn1660-4601
dc.journal.titleInternational Journal of Environmental Research and Public Healthes_ES
dc.volume.number15es_ES
dc.issue.number11es_ES
dc.page.initial2420es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.unesco3212 Salud Publicaes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional