Web Usage Analysis : New Science Indicators and Co-usage

Xavier Polanco (1) , Ivana Roche (1) , Dominique Besagni (1)

1 INIST - Institut de l'information scientifique et technique

A new type of statistical analysis of the science and technical information (STI) in the Web context is produced. We propose a set of indicators about Web users, visualized bibliographic records, and e-commercial transactions. In addition, we introduce two Web usage factors. Finally, we give an overview of the co-usage analysis. For these tasks, we introduce a computer based system, called Miri@d, which produces descriptive statistical information about the Web users' searching behaviour, and what is effectively used from a free access digital bibliographical database. The system is conceived as a server of statistical data which are carried out beforehand, and as an interactive server for online statistical work. The results will be made available to analysts, who can use this descriptive statistical information as raw data for their indicator design tasks, and as input for multivariate data analysis, clustering analysis, and mapping. Managers also can exploit the results in order to improve management and decision-making.

Mots clés: Webometrics; Web usage mining; Science indicators; Web user behaviour; Co-usage analysis; Web server

Mots clés: Webometría; Minería utilización de la Web; Indicadores de la ciencia; Comportamiento utilizador de la Web; Análisis co-utilización; Servidor Web

Mots clés: Webométrie; Fouille de données d’usage du Web; Indicateurs de la science; Comportement utilisateur Web; Analyse co-usage; Serveur Web

Domaines: Recherche d'information [cs.IR]; Sciences de l'information et de la communication; Web; Applications [stat.AP]

Xavier Polanco, Ivana Roche, Dominique Besagni. Web Usage Analysis : New Science Indicators and Co-usage. Séminaire VSST 2006, IRIT associé à l’UPC et la SFBA, Jan 2006, Lille, France. pp.1-16. ⟨hal-00336776⟩