Please use this identifier to cite or link to this item: http://repositorio.grial.eu/handle/grial/1039
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dc.contributor.authorDurán-Escudero, J.-
dc.contributor.authorGarcía-Peñalvo, F. J.-
dc.contributor.authorTherón, R.-
dc.date.accessioned2017-10-24T10:02:32Z-
dc.date.available2017-10-24T10:02:32Z-
dc.date.issued2017-10-18-
dc.identifier.citationDurán-Escudero, J., García-Peñalvo, F. J., & Therón-Sánchez, R. (2017). An architectural proposal to explore the data of a private community through visual analytic. In J. M. Dodero, M. S. Ibarra Sáiz, & I. Ruiz Rube (Eds.), Proceedings of the Fifth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’17) (Cádiz, Spain, October 18-20, 2017) (Article 48). New York, NY, USA: ACM. doi:10.1145/3144826.3145398en
dc.identifier.isbn978-1-4503-5386-1-
dc.identifier.other10.1145/3144826.3145398-
dc.identifier.urihttp://repositorio.grial.eu/handle/grial/1039-
dc.description.abstractIn this document, a proposal is made to study the data that will be generated in the private and anonymous community of the WYRED project, in order to extract knowledge about how their users interact, both between them, and with the platform. To do this, it is started with the creation of a system that will generate a set of test data, as close as possible to the original. With this information and considering the impact of privacy when dealing with the data of the project, a flexible and complete architecture has been proposed for the development of interactive visualizations that will allow to visualize the previously generated data. Finally, a use case is presented where the suitability of the visual analytic is demonstrated to perform analysis of the data of the project and to extract knowledge, in a simple wayen
dc.language.isoenen
dc.publisherACMen
dc.subjectVisual Analyticen
dc.subjectSocial Networken
dc.subjectSoftware Architectureen
dc.subjectData Generationen
dc.subjectUsers Interactionen
dc.subjectInteraction in Social Networksen
dc.subjectWYREDen
dc.titleAn architectural proposal to explore the data of a private community through visual analyticen
dc.typeBook chapteren
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