2010 International Conference on Advances in Social Networks Analysis and Mining (2010)
Aug. 9, 2010 to Aug. 11, 2010
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.
Link Analysis, Website structure, Factor Analysis, Genetic Algorithms
F. Barrero, S. Toral, M. M. Torres and B. Palacios, "Application of Genetic Algorithms to the Identification of Website Link Structure," 2010 International Conference on Advances in Social Networks Analysis and Mining(ASONAM), Odense, Denmark, 2010, pp. 88-95.