Big data and virtual communities: methodological issues

Martínez Torres, María del Rocío; Toral, S. L.; Fornara, Nicoletta

Informe

dc.creator	Martínez Torres, María del Rocío
dc.creator	Toral, S. L.
dc.creator	Fornara, Nicoletta
dc.date.accessioned	2016-01-15T15:03:15Z
dc.date.available	2016-01-15T15:03:15Z
dc.date.issued	2014
dc.identifier.uri	http://hdl.handle.net/11441/32680
dc.description.abstract	Virtual communities represent today en emergent phenomenon through which users get together to create ideas, to obtain help from one another, or just to casually engage in discussions. Their increasing popularity as well as their utility as a source of business value and marketing strategies justify the necessity of defi ning some specifi c methodologies for analyzing them. The aim of this paper is providing new insights into virtual communities from a methodological viewpoint, highlighting the main trends and challenges	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Virtual communities	es
dc.subject	Big Data	es
dc.subject	Social network analysis	es
dc.subject	Semantic analysis	es
dc.subject	Non-reactive data collection	es
dc.title	Big data and virtual communities: methodological issues	es
dc.type	info:eu-repo/semantics/report	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/publishedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing)	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ingeniería Electrónica	es
dc.identifier.idus	https://idus.us.es/xmlui/handle/11441/32680

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