Analysis and visualization of co-authorship networks for understanding academic collaboration and knowledge domain of individual researchers

Huang, TH; Huang, ML

Analysis and visualization of co-authorship networks for understanding academic collaboration and knowledge domain of individual researchers

Huang, TH Huang, ML

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Publication Type:: Conference Proceeding
Citation:: Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06, 2006, 2006 pp. 18 - 23
Issue Date:: 2006-12-01

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Field	Value	Language
dc.contributor.author	Huang, TH	en_US
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06, 2006, 2006 pp. 18 - 23	en_US
dc.identifier.isbn	0769526063	en_US
dc.identifier.isbn	9780769526065	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2637
dc.description.abstract	This paper proposed a new approach for collecting, analyzing and visualizing co-authoring data of individuals. This approach can be used for understanding the academic collaboration and knowledge domain of individual researchers in a past period through repetitive co-published works. Particularly we extracted the co-authoring data from the DBLP which is one of the largest on-line Computer Science bibliographic databases available on the Internet. To help users to understand the academic collaboration and knowledge domain of individuals, we developed an InterRing visualizer which shows not only the weight of co-authorship of an individual with other researchers in particular academic year, but also the knowledge domain of the individual that was covered by his/her publications published in a past period. © 2006 IEEE.	en_US
dc.relation.ispartof	Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06	en_US
dc.relation.isbasedon	10.1109/CGIV.2006.20	en_US
dc.title	Analysis and visualization of co-authorship networks for understanding academic collaboration and knowledge domain of individual researchers	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2006	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Sydney, Australia	en_US
dc.location.activity	Brisbane, Australia
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
pubs.volume	2006	en_US

Abstract:

This paper proposed a new approach for collecting, analyzing and visualizing co-authoring data of individuals. This approach can be used for understanding the academic collaboration and knowledge domain of individual researchers in a past period through repetitive co-published works. Particularly we extracted the co-authoring data from the DBLP which is one of the largest on-line Computer Science bibliographic databases available on the Internet. To help users to understand the academic collaboration and knowledge domain of individuals, we developed an InterRing visualizer which shows not only the weight of co-authorship of an individual with other researchers in particular academic year, but also the knowledge domain of the individual that was covered by his/her publications published in a past period. © 2006 IEEE.

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http://hdl.handle.net/10453/2637