Application of Genetic Algorithms to the Identification of Website Link Structure

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.

DOI: 10.1109/ASONAM.2010.12

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Cite this paper

@article{MartnezTorres2010ApplicationOG, title={Application of Genetic Algorithms to the Identification of Website Link Structure}, author={M. Roc{\'i}o Mart{\'i}nez-Torres and Beatriz Palacios and Sergio L. Toral Mar{\'i}n and Federico Barrero}, journal={2010 International Conference on Advances in Social Networks Analysis and Mining}, year={2010}, pages={88-95} }