Ponencia
Application of genetic algorithms to the identification of website link structure
Autor/es | Martínez Torres, María del Rocío
Palacios Florencio, Beatriz Toral, S. L. Barrero, Federico |
Departamento | Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing) Universidad de Sevilla. Departamento de Ingeniería Electrónica |
Fecha de publicación | 2010 |
Fecha de depósito | 2015-11-17 |
Publicado en |
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Resumen | 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 ... 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 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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application of genetic.pdf | 1.478Mb | [PDF] | Ver/ | |