A fully animated interactive system for clustering and navigating huge graphs

Huang, ML; Eades, P

A fully animated interactive system for clustering and navigating huge graphs

Huang, ML

Eades, P

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Publication Type:: Journal Article
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1999, 1547 pp. 374 - 383
Issue Date:: 1999-01-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Eades, P	en_US
dc.date.issued	1999-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1999, 1547 pp. 374 - 383	en_US
dc.identifier.isbn	9783540654735	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/13838
dc.description.abstract	© Springer-Verlag Berlin Heidelberg 1998. This paper describes DA-TU, which combines an animated clustering and an online force-directed animated graph drawing method for the visualization of huge graphs.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/3-540-37623-2_29	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A fully animated interactive system for clustering and navigating huge graphs	en_US
dc.type	Journal Article
utslib.citation.volume	1547	en_US
utslib.for	080605 Decision Support and Group Support Systems	en_US
utslib.for	080499 Data Format not elsewhere classified	en_US
utslib.for	120307 Visual Communication Design (incl. Graphic Design)	en_US
dc.location.activity	ISI:000084758200029	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
pubs.volume	1547	en_US

Abstract:

© Springer-Verlag Berlin Heidelberg 1998. This paper describes DA-TU, which combines an animated clustering and an online force-directed animated graph drawing method for the visualization of huge graphs.

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

http://hdl.handle.net/10453/13838