Feature selection and complex networks methods for an analysis of collaboration evolution in science: an application to the ISTEX digital library

Abstract : —In this paper, we aim to give insights about the self-organization of scientific collaboration. To that aim, we describe a new framework to monitor the evolution of a collaboration graph that models the co-authorship of research papers authors. We use community structure of the network as a high-level description of its self-organization and thus consider the evolution of the communities across time. To monitor this evolution, we describe a diachronic analysis method based on the extraction of prevalent nodes for each community. We apply this approach on data issued from the ISTEX project, a scientific digital library that contains so far more than 16 million documents and present some preliminary results and visualizations.
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Communication dans un congrès
ISKO-MAGHREB 2015, Nov 2015, Hammamet, Tunisia
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https://hal.archives-ouvertes.fr/hal-01231791
Contributeur : Nicolas Dugue <>
Soumis le : vendredi 20 novembre 2015 - 16:48:42
Dernière modification le : jeudi 11 janvier 2018 - 06:23:43
Document(s) archivé(s) le : vendredi 28 avril 2017 - 14:21:55

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  • HAL Id : hal-01231791, version 1

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Nicolas Dugué, Ali Tebbakh, Pascal Cuxac, Jean-Charles Lamirel. Feature selection and complex networks methods for an analysis of collaboration evolution in science: an application to the ISTEX digital library. ISKO-MAGHREB 2015, Nov 2015, Hammamet, Tunisia. 〈hal-01231791〉

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