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Conference papers

Visualizing Dense Dynamic Networks with Matrix Cubes

Benjamin Bach 1 Emmanuel Pietriga 2, 3, 4 Jean-Daniel Fekete 1
1 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
2 IN-SITU - Situated interaction
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 : Visualizing static networks is already difficult, but exploring dynamic networks is even more challenging due to the complexity of the tasks involved; one visual encoding will hardly fit all tasks effectively, hence multiple complementary views are needed. We introduce the Matrix Cube, a visualization and navigation model for dynamic networks that results from stacking adjacency matrices, one for each time step in the network. It builds on our familiarity with cubes in the physical world and offers intuitive ways to look at, manipulate and decompose them. We describe a set of operations to decompose the Matrix Cube and interact with the resulting views.
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Submitted on : Wednesday, August 7, 2013 - 5:05:34 PM
Last modification on : Friday, January 21, 2022 - 3:10:05 AM
Long-term archiving on: : Wednesday, April 5, 2017 - 7:47:07 PM


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  • HAL Id : hal-00850662, version 1


Benjamin Bach, Emmanuel Pietriga, Jean-Daniel Fekete. Visualizing Dense Dynamic Networks with Matrix Cubes. IEEE Conference on Information Visualization [Poster], Oct 2013, Atlanta, GA, United States. ⟨hal-00850662⟩



Les métriques sont temporairement indisponibles