Application of genetic algorithms to the identification of website link structure

Martínez Torres, María del Rocío; Palacios Florencio, Beatriz; Toral, S. L.; Barrero, Federico

doi:http://dx.doi.org/10.1109/ASONAM.2010.12

Ponencia

dc.creator	Martínez Torres, María del Rocío
dc.creator	Palacios Florencio, Beatriz
dc.creator	Toral, S. L.
dc.creator	Barrero, Federico
dc.date.accessioned	2015-11-17T14:32:50Z
dc.date.available	2015-11-17T14:32:50Z
dc.date.issued	2010
dc.identifier.uri	http://hdl.handle.net/11441/30789
dc.description.abstract	This paper explores website link structure considering websites as interconnected graphs and analyzing their features as a social network. Factor Analysis provides the statistical methodology to adequately extract the main website profiles in terms of their internal structure. However, due to the large number of indicators, a genetic search of their optimum number is proposed, and applied to a case study based on 80 Spanish University websites. Results provide coherent and relevant website profiles, and highlight the possibilities of Genetic Algorithms as a tool for discovering new knowledge related to website link structures	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	IEEE	es
dc.relation.ispartof	2010 International Conference on Advances in Social Networks Analysis and Mining, 88-95	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Link Analysis	es
dc.subject	Website structure	es
dc.subject	Factor Analysis	es
dc.subject	Genetic Algorithms	es
dc.title	Application of genetic algorithms to the identification of website link structure	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
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.relation.publisherversion	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5562786
dc.identifier.doi	http://dx.doi.org/10.1109/ASONAM.2010.12	es
dc.identifier.idus	https://idus.us.es/xmlui/handle/11441/30789

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