Large scale network analysis with interactive visualisation

Quang Vinh Nguyen; Mao Lin Huang

doi:10.1109/CGIV.2009.42

Large scale network analysis with interactive visualisation

Quang Vinh Nguyen
, Mao Lin Huang

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

This paper proposes a new interactive visualisation for analysing large hierarchical structures and networks. The technique combines of different graph layout methods with a layout refinement process, an interactive navigation mechanism and clustering algorithms. The integration of these components makes it flexible in dealing with a variety of graph and hierarchical structures. Interactive exploration is enabled with chaincontext view. We aim to provide user with an effective mechanism for understanding of the nature of various networks. This could lead to the discovering and revealing of the hidden structures and relationships among elements as well as relationships associated with the elements.

Original language	English
Title of host publication	Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization (CGIV2009): New Advances and Trends, 11-14 August 2009, Tianjin, China
Publisher	IEEE
Pages	467-472
Number of pages	6
ISBN (Print)	9780769537894
DOIs	https://doi.org/10.1109/CGIV.2009.42
Publication status	Published - 2009
Event	International Conference on Computer Graphics_Imaging and Visualization - Duration: 11 Aug 2009 → …

Conference

Conference	International Conference on Computer Graphics_Imaging and Visualization
Period	11/08/09 → …

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10.1109/CGIV.2009.42

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title = "Large scale network analysis with interactive visualisation",

abstract = "This paper proposes a new interactive visualisation for analysing large hierarchical structures and networks. The technique combines of different graph layout methods with a layout refinement process, an interactive navigation mechanism and clustering algorithms. The integration of these components makes it flexible in dealing with a variety of graph and hierarchical structures. Interactive exploration is enabled with chaincontext view. We aim to provide user with an effective mechanism for understanding of the nature of various networks. This could lead to the discovering and revealing of the hidden structures and relationships among elements as well as relationships associated with the elements.",

author = "Nguyen, \{Quang Vinh\} and Huang, \{Mao Lin\}",

year = "2009",

doi = "10.1109/CGIV.2009.42",

language = "English",

isbn = "9780769537894",

pages = "467--472",

booktitle = "Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization (CGIV2009): New Advances and Trends, 11-14 August 2009, Tianjin, China",

publisher = "IEEE",

note = "International Conference on Computer Graphics\_Imaging and Visualization ; Conference date: 11-08-2009",

}

Nguyen, QV & Huang, ML 2009, Large scale network analysis with interactive visualisation. in Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization (CGIV2009): New Advances and Trends, 11-14 August 2009, Tianjin, China. IEEE, pp. 467-472, International Conference on Computer Graphics_Imaging and Visualization, 11/08/09. https://doi.org/10.1109/CGIV.2009.42

Large scale network analysis with interactive visualisation. / Nguyen, Quang Vinh; Huang, Mao Lin.
Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization (CGIV2009): New Advances and Trends, 11-14 August 2009, Tianjin, China. IEEE, 2009. p. 467-472.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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N2 - This paper proposes a new interactive visualisation for analysing large hierarchical structures and networks. The technique combines of different graph layout methods with a layout refinement process, an interactive navigation mechanism and clustering algorithms. The integration of these components makes it flexible in dealing with a variety of graph and hierarchical structures. Interactive exploration is enabled with chaincontext view. We aim to provide user with an effective mechanism for understanding of the nature of various networks. This could lead to the discovering and revealing of the hidden structures and relationships among elements as well as relationships associated with the elements.

AB - This paper proposes a new interactive visualisation for analysing large hierarchical structures and networks. The technique combines of different graph layout methods with a layout refinement process, an interactive navigation mechanism and clustering algorithms. The integration of these components makes it flexible in dealing with a variety of graph and hierarchical structures. Interactive exploration is enabled with chaincontext view. We aim to provide user with an effective mechanism for understanding of the nature of various networks. This could lead to the discovering and revealing of the hidden structures and relationships among elements as well as relationships associated with the elements.

UR - http://handle.uws.edu.au:8081/1959.7/562465

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DO - 10.1109/CGIV.2009.42

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SN - 9780769537894

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BT - Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization (CGIV2009): New Advances and Trends, 11-14 August 2009, Tianjin, China

PB - IEEE

T2 - International Conference on Computer Graphics_Imaging and Visualization

Y2 - 11 August 2009

ER -

Large scale network analysis with interactive visualisation

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