Navigating Large Clustered Graphs with Triple-Layer Display

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dc.contributor.author Huang, M
dc.contributor.author Nguyen, Q
dc.contributor.editor Banissi
dc.contributor.editor E
dc.contributor.editor Burkhard
dc.contributor.editor A, R
dc.contributor.editor Grinstein
dc.contributor.editor G
dc.contributor.editor al, E
dc.date.accessioned 2009-11-09T05:36:15Z
dc.date.issued 2007-01
dc.identifier.citation Information Visualization, 2007, pp. 684 - 689
dc.identifier.isbn 0-7695-2900-3
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2711
dc.description.abstract This paper presents a technique for navigating large clustered graphs with triple-layer display. Although our navigation and interaction technique can be applied independently to any graph layout algorithms, in our implementation, our navigation algorithm is cooperated with a clustered graph layout algorithm. In short, we provide users with the display of three levels of contextual information for navigation. They are the display of full-context, the display of the current-context view and the display of the focused view. Our technique not only allows users to navigate hierarchically up and down through the entire clustered graph, but also provides a way to navigate multiple clusters concurrently. We also use animation to preserve the users mental maps during the interaction.
dc.publisher IEEE Computer Society Publisher
dc.relation.isbasedon 10.1109/IV.2007.83
dc.title Navigating Large Clustered Graphs with Triple-Layer Display
dc.type Conference Proceeding
dc.parent Information Visualization
dc.journal.number en_US
dc.publocation Los Alamitos, CA, USA en_US
dc.identifier.startpage 684 en_US
dc.identifier.endpage 689 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference International Conference on Information Visualisation
dc.conference.location Zurich, Switzerland en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 024665
dc.personcode 990771
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Information Visualisation en_US
dc.date.activity 20070704 en_US
dc.date.activity 2007-07-04
dc.location.activity Zurich, Switzerland en_US
dc.description.keywords navigation, interaction, multipleviews, clustered graph, information visualization. en_US
dc.description.keywords navigation, interaction, multipleviews, clustered graph, information visualization.
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)
utslib.collection.history School of Software (ID: 337)


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