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

Conference papers

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

1 URI - University of Rhode Island

2 CORTEX - Neuromimetic intelligence

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

Document type :

Conference papers

Domain :

Computer Science [cs] / Other [cs.OH]

Complete list of metadata

https://hal.inria.fr/inria-00100158
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Submitted on : Tuesday, September 26, 2006 - 10:14:48 AM
Last modification on : Wednesday, April 6, 2022 - 3:48:19 PM

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

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

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