Visualization of Web data: Complementarities between a graph and a multi-maps approach

Claire François; Marianne Hoerlesberger; Shadi Al Shehabi; Xavier Polanco; Jean-Charles Lamirel

Visualization of Web data: Complementarities between a graph and a multi-maps approach

Claire François ¹ Marianne Hoerlesberger Shadi Al Shehabi ² Xavier Polanco ¹ Jean-Charles Lamirel ²

INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications

Abstract : Visualization tools give a helpful approach to describe the web-supported communication in R and D. Graph theoretical methods are used for investigating link structures on the Web. These structures can be interpreted by including the characteristics of the websites in the analysis. To achieve this, two methods defined for analysis bibliographical data are combined for the first time: the BibTechMonTM graph theoretical method and the MutiSOM clustering and mapping method. The complementarities between these two approaches are highlighted in terms of analysis process and indicator definition.

Keywords : webometrics classification spring model modèle multisom som comparison bayesian network modèle de spring comparaison réseaux bayesien webométrie

Type de document :

Communication dans un congrès

8th International Conference on Science and Technology Indicators - ST 2004, 2004, Leiden, Nederlands, pp.94-95, 2004

Domaine :

Informatique [cs] / Autre [cs.OH]

Liste complète des métadonnées

https://hal.inria.fr/inria-00100158
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 10:14:48
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

Visualization of Web data: Complementarities between a graph and a multi-maps approach

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