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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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https://hal.archives-ouvertes.fr/hal-01231791
Contributor : Nicolas Dugue <>
Submitted on : Friday, November 20, 2015 - 4:48:42 PM
Last modification on : Wednesday, March 18, 2020 - 2:56:41 PM
Document(s) archivé(s) le : Friday, April 28, 2017 - 2:21:55 PM

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Distributed under a Creative Commons Attribution 4.0 International License

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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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