Application of Genetic Algorithms to the Identification of Website: Link Structure

摘要

This paper explores website link structure considering websites as interconnected graphs and analyzing their featurtscas asocial network. Factor Analysis provides the statistical methodology to adequately extract the main website profiles in terms of their internalAstructure. However, due to the large number of indicators, a kenetic 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.