Navigating large clustered graphs with triple-layer display

Huang, ML; Nguyen, QV

Navigating large clustered graphs with triple-layer display

Huang, ML

Nguyen, QV

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings of the International Conference on Information Visualisation, 2007, pp. 684 - 689
Issue Date:: 2007-10-23

Closed Access

	Filename	Description	Size
	2006009883.pdf		396.72 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Nguyen, QV https://orcid.org/0000-0002-0815-6224	en_US
dc.date.issued	2007-10-23	en_US
dc.identifier.citation	Proceedings of the International Conference on Information Visualisation, 2007, pp. 684 - 689	en_US
dc.identifier.issn	1093-9547	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. ©2007 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0665463
dc.relation.ispartof	Proceedings of the International Conference on Information Visualisation	en_US
dc.relation.isbasedon	10.1109/IV.2007.83	en_US
dc.title	Navigating large clustered graphs with triple-layer display	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Zurich, Switzerland	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	closed_access
pubs.publication-status	Published	en_US

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. ©2007 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/2711