Using visual cues on DOITree for visualizing large hierarchical data

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    4 Citations (Scopus)

    Abstract

    ![CDATA[This paper extends a previous work on node link tree visualization and interaction by providing visual clues on hidden structures. We adopt the effectiveness of DOITree, a multi-focal tree layout algorithm, for exploring large hierarchical structures. The advantages of visualization are its most familiar mapping for users, its capability on providing multiple focused nodes, and its dynamic rescaling of substructures to fit the available space. By providing various methods of topological previews of substructure including simple icon view, tree view and treemap view, we provide better understanding the topology of hidden branches.]]
    Original languageEnglish
    Title of host publicationProceedings of the 2014 18th International Conference on Information Visualisation (IV 2014), 16-18 July 2014, Paris, France
    PublisherIEEE
    Pages1-6
    Number of pages6
    ISBN (Print)9781479941032
    DOIs
    Publication statusPublished - 2014
    EventInternational Conference on Information Visualisation -
    Duration: 16 Jul 2014 → …

    Conference

    ConferenceInternational Conference on Information Visualisation
    Period16/07/14 → …

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