Visualizing the dynamics of e-science social networks

Asterios Katsifodimos 1, 2 Jean-Daniel Fekete 3 Alain Cady 1 Cecile Germain-Renaud 1, 4
2 LEO - Distributed and heterogeneous data and knowledge
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
3 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France
4 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Computational grids provide new natural examples of large-scale complex networks emerging from collective behavior. An interesting question is thus whether these networks exhibit properties similar to those of other social networks (SN), or original ones, which would be the specific signature of e-science. As a first step towards answering these questions, we build a scalable interactive visual exploration tool targeted at the spatiotemporal structure of data-access and data-sharing. The primary goal is to help computer science researchers getting intuition about the dynamics of the system.
Type de document :
Communication dans un congrès
EGEE User Forum, Apr 2010, Uppsala, Sweden. 2010
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https://hal.inria.fr/inria-00544452
Contributeur : Cecile Germain-Renaud <>
Soumis le : mercredi 8 décembre 2010 - 10:49:52
Dernière modification le : jeudi 9 février 2017 - 16:00:05

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  • HAL Id : inria-00544452, version 1

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Asterios Katsifodimos, Jean-Daniel Fekete, Alain Cady, Cecile Germain-Renaud. Visualizing the dynamics of e-science social networks. EGEE User Forum, Apr 2010, Uppsala, Sweden. 2010. <inria-00544452>

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