Using visual cues on DOITree for visualizing large hierarchical data

Quang Vinh Nguyen; Simeon Simoff; Mao Lin Huang

doi:10.1109/IV.2014.21

Using visual cues on DOITree for visualizing large hierarchical data

Quang Vinh Nguyen, Simeon Simoff, Mao Lin Huang

School of Computer, Data & Mathematical Sciences

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

4 Citations (Scopus)

Abstract

This paper extends a previous work on node link tree visualization and interaction by providing visual clues on hidden structures. We adopt the effectiveness of DOITree, a multi-focal tree layout algorithm, for exploring large hierarchical structures. The advantages of visualization are its most familiar mapping for users, its capability on providing multiple focused nodes, and its dynamic rescaling of substructures to fit the available space. By providing various methods of topological previews of substructure including simple icon view, tree view and treemap view, we provide better understanding the topology of hidden branches.

Original language	English
Title of host publication	Proceedings of the 2014 18th International Conference on Information Visualisation (IV 2014), 16-18 July 2014, Paris, France
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Print)	9781479941032
DOIs	https://doi.org/10.1109/IV.2014.21
Publication status	Published - 2014
Event	International Conference on Information Visualisation - Duration: 16 Jul 2014 → …

Conference

Conference	International Conference on Information Visualisation
Period	16/07/14 → …

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10.1109/IV.2014.21

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title = "Using visual cues on DOITree for visualizing large hierarchical data",

abstract = "This paper extends a previous work on node link tree visualization and interaction by providing visual clues on hidden structures. We adopt the effectiveness of DOITree, a multi-focal tree layout algorithm, for exploring large hierarchical structures. The advantages of visualization are its most familiar mapping for users, its capability on providing multiple focused nodes, and its dynamic rescaling of substructures to fit the available space. By providing various methods of topological previews of substructure including simple icon view, tree view and treemap view, we provide better understanding the topology of hidden branches.",

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AU - Simoff, Simeon

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AB - This paper extends a previous work on node link tree visualization and interaction by providing visual clues on hidden structures. We adopt the effectiveness of DOITree, a multi-focal tree layout algorithm, for exploring large hierarchical structures. The advantages of visualization are its most familiar mapping for users, its capability on providing multiple focused nodes, and its dynamic rescaling of substructures to fit the available space. By providing various methods of topological previews of substructure including simple icon view, tree view and treemap view, we provide better understanding the topology of hidden branches.

UR - http://handle.uws.edu.au:8081/1959.7/554219

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DO - 10.1109/IV.2014.21

M3 - Conference Paper

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PB - IEEE

T2 - International Conference on Information Visualisation

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ER -

Using visual cues on DOITree for visualizing large hierarchical data

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