Application of Genetic Algorithms to the Identification of Website Link Structure

Author

Torres, M. R Martinez ; Palacios, B. ; Toral, S.L. ; Barrero, F.

Author_Institution

Dept. of Bus. Adm. & Marketing, Univ. of Seville, Seville, Spain

fYear

2010

fDate

9-11 Aug. 2010

Firstpage

88

Lastpage

95

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.

Keywords

directed graphs; genetic algorithms; information retrieval; search problems; social networking (online); statistical analysis; Website; Website link structure; factor analysis; genetic algorithm; genetic search; interconnected graph; social network; Biological cells; Correlation; Feature extraction; Genetics; Loading; Social network services; Web sites; Factor Analysis; Genetic Algorithms; Link Analysis; Website structure;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on

Conference_Location

Odense

Print_ISBN

978-1-4244-7787-6

Electronic_ISBN

978-0-7695-4138-9

Type

conf

DOI

10.1109/ASONAM.2010.12

Filename

5562786