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
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
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.
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https://hal.inria.fr/inria-00544452
Contributor : Cecile Germain <>
Submitted on : Wednesday, December 8, 2010 - 10:49:52 AM
Last modification on : Thursday, April 5, 2018 - 12:30:12 PM

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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. ⟨inria-00544452⟩

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