Combining DagMaps and Sugiyama Layout for the Navigation of Hierarchical Data
In: IV'07: 11th International Conference on Information Visualisation, 2007
Online
Konferenz
Zugriff:
International audience ; This paper presents a novel technique for exploring and navigating large hierarchies, not restricted to trees but to directed acyclic graphs (DAGs). The technique combines two different visualizations emphasizing different points of view the user can adopt when analyzing the content of the hierarchy. Usual hierarchical (node-link) layout reflect the relative position of nodes in the hierarchy while a variation of a treemap emphasizes node attributes. The classical treemap algorithm has been adapted in order to deal with DAGs. Linking the two views enables the user to visually and interactively explore elements of the hierarchy with respect to selected attributes, while being able to locate the node in the DAG.
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Combining DagMaps and Sugiyama Layout for the Navigation of Hierarchical Data
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Autor/in / Beteiligte Person: | Melançon, Guy ; Koenig, Pierre-Yves ; Bohan, Charles ; Gauthier, Bérengère ; Graph Visualization and Interactive Exploration (GRAVITE) ; Université Sciences et Technologies - Bordeaux 1 (UB)-Inria Bordeaux - Sud-Ouest ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS) ; Fouille de données environnementales (TATOO) ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) ; Maison de la géographie (MGM) ; Université Paul-Valéry - Montpellier 3 (UPVM)-Centre National de la Recherche Scientifique (CNRS) |
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Zeitschrift: | IV'07: 11th International Conference on Information Visualisation, 2007 |
Veröffentlichung: | HAL CCSD ; IEEE Computer Society, 2007 |
Medientyp: | Konferenz |
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