GraphDiaries: Animated Transitions and Temporal Navigation for Dynamic Networks

Benjamin Bach 1 Emmanuel Pietriga 2, 3, 4 Jean-Daniel Fekete 1
1 AVIZ - Analysis and Visualization
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 : Identifying, tracking and understanding changes in dynamic networks are complex and cognitively demanding tasks. We present GraphDiaries, a visual interface designed to improve support for these tasks in any node-link based graph visualization system. GraphDiaries relies on animated transitions that highlight changes in the network between time steps, thus helping users identify and understand those changes. To better understand the tasks related to the exploration of dynamic networks, we first introduce a task taxonomy, that informs the design of GraphDiaries, presented afterwards. We then report on a user study, based on representative tasks identified through the taxonomy, and that compares GraphDiaries to existing techniques for temporal navigation in dynamic networks, showing that it outperforms them in terms of both task time and errors for several of these tasks.
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Journal articles
Transactions on Visualization and Computer Graphics (TVCG), IEEE, 2014, 20 (5), pp.740 - 754. <10.1109/TVCG.2013.254>
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Benjamin Bach, Emmanuel Pietriga, Jean-Daniel Fekete. GraphDiaries: Animated Transitions and Temporal Navigation for Dynamic Networks. Transactions on Visualization and Computer Graphics (TVCG), IEEE, 2014, 20 (5), pp.740 - 754. <10.1109/TVCG.2013.254>. <hal-00906597>

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