Using visual cues on DOITree for visualizing large hierarchical data

Nguyen, QV; Simoff, S; Huang, ML

Using visual cues on DOITree for visualizing large hierarchical data

Nguyen, QV Simoff, S Huang, ML

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the International Conference on Information Visualisation, 2014, pp. 1 - 6
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Nguyen, QV	en_US
dc.contributor.author	Simoff, S	en_US
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Proceedings of the International Conference on Information Visualisation, 2014, pp. 1 - 6	en_US
dc.identifier.isbn	9781479941032	en_US
dc.identifier.issn	1093-9547	en_US
dc.identifier.uri	http://hdl.handle.net/10453/38169
dc.description.abstract	© 2014 IEEE. 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 DOI Tree, 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 tree map view, we provide better understanding the topology of hidden branches.	en_US
dc.relation.ispartof	Proceedings of the International Conference on Information Visualisation	en_US
dc.relation.isbasedon	10.1109/IV.2014.21	en_US
dc.title	Using visual cues on DOITree for visualizing large hierarchical data	en_US
dc.type	Conference Proceeding
utslib.for	080605 Decision Support and Group Support Systems	en_US
utslib.for	080499 Data Format not elsewhere classified	en_US
pubs.embargo.period	Not known	en_US
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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. 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 DOI Tree, 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 tree map view, we provide better understanding the topology of hidden branches.

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http://hdl.handle.net/10453/38169