dc.contributor | Escuela Universitaria de Ciencias de la Salud | es_ES |
dc.contributor.author | Benítez Andrades, José Alberto | |
dc.contributor.author | Rodríguez González, Alejandro | |
dc.contributor.author | Benavides Cuéllar, María del Carmen | |
dc.contributor.author | Sánchez Valdeón, Leticia | |
dc.contributor.author | García Rodríguez, Isaías | |
dc.contributor.other | Enfermeria | es_ES |
dc.date | 2018 | |
dc.date.accessioned | 2021-05-04T09:20:03Z | |
dc.date.available | 2021-05-04T09:20:03Z | |
dc.identifier.uri | http://hdl.handle.net/10612/13136 | |
dc.description | 15 páginas | es_ES |
dc.description.abstract | Social 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.language | eng | es_ES |
dc.publisher | MDPI15 | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Medicina. Salud | es_ES |
dc.subject.other | Investigación | es_ES |
dc.subject.other | Social network analysis | es_ES |
dc.subject.other | Semantic knowledge representation | es_ES |
dc.subject.other | Ontology | es_ES |
dc.subject.other | Sensitivity analysis | es_ES |
dc.subject.other | Alcohol consumption | es_ES |
dc.subject.other | Consumo | es_ES |
dc.subject.other | Bebidas alcohólicas | es_ES |
dc.subject.other | Ontologías | es_ES |
dc.title | A semantic social network analysis tool for sensitivity analysis and what-If scenario testing in alcohol consumption studies | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.identifier.doi | 10.3390/ijerph15112420 | |
dc.description.peerreviewed | SI | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.essn | 1660-4601 | |
dc.journal.title | International Journal of Environmental Research and Public Health | es_ES |
dc.volume.number | 15 | es_ES |
dc.issue.number | 11 | es_ES |
dc.page.initial | 2420 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
dc.subject.unesco | 3212 Salud Publica | es_ES |