Navigating large clustered graphs with triple-layer display

Mao Lin Huang; Quang Vinh Nguyen

doi:10.1109/IV.2007.83

Navigating large clustered graphs with triple-layer display

Mao Lin Huang, Quang Vinh Nguyen

University of Technology Sydney

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

6 Citations (Scopus)

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.

Original language	English
Title of host publication	11th International Conference Information Visualization (IV 2007), 4-6 July 2007, Zurich, Switzerland
Place of Publication	U.S.
Publisher	IEEE
Number of pages	6
ISBN (Print)	9780769529004
DOIs	https://doi.org/10.1109/IV.2007.83
Publication status	Published - 2007
Externally published	Yes
Event	International Conference on Information Visualisation - Zurich, Switzerland Duration: 4 Jul 2007 → 6 Jul 2007 Conference number: 11th

Conference

Conference	International Conference on Information Visualisation
Country/Territory	Switzerland
City	Zurich
Period	4/07/07 → 6/07/07

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10.1109/IV.2007.83

Cite this

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title = "Navigating large clustered graphs with triple-layer display",

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.",

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

year = "2007",

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AU - Nguyen, Quang Vinh

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N2 - 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.

AB - 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.

UR - https://go.openathens.net/redirector/westernsydney.edu.au?url=https://doi.org/10.1109/IV.2007.83

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DO - 10.1109/IV.2007.83

M3 - Conference Paper

SN - 9780769529004

BT - 11th International Conference Information Visualization (IV 2007), 4-6 July 2007, Zurich, Switzerland

PB - IEEE

CY - U.S.

T2 - International Conference on Information Visualisation

Y2 - 4 July 2007 through 6 July 2007

ER -

Navigating large clustered graphs with triple-layer display

Abstract

Conference

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