User Science Indicators in the Web Context and Co-usage Analysis

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

1 INIST - Institut de l'information scientifique et technique

We present a new kind of statistical analysis of science and technical information (STI) in the Web context. We propose a battery of indicators about Web users, used bibliographic records and e-commercial transactions. In addition, we introduce two Web usage factors and we give an overview of the co-usage analysis. For these tasks, we present a computer-based system, called Miri@d, which produces descriptive statistical information about Web users' searching behaviour, and what is effectively used from a free-access digital bibliographical database.

Mots clés: User web mining; Clustering; Co-usage analysis

Domaines: Web

Xavier Polanco, Ivana Roche, Dominique Besagni. User Science Indicators in the Web Context and Co-usage Analysis. Scientometrics, 2006, 66 (1), pp.171-182. ⟨hal-00160806⟩