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Output details

11 - Computer Science and Informatics

Swansea University

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Output 25 of 73 in the submission

Article title

GrouseFlocks: Steerable Exploration of Graph Hierarchy Space

Type

D - Journal article

DOI

10.1109/TVCG.2008.34

Title of journal

IEEE Transactions on Visualization and Computer Graphics

Article number

Volume number

Issue number

First page of article

900

ISSN of journal

1077-2626

Year of publication

2008

URL

Number of additional authors

Additional information

<20> The visualization technique is the first to apply steerable techniques to large scale graph visualization. Steerability allows the visualization to scale to larger graphs as neither a classification of the nodes nor a drawing of the graph needs to be computed beforehand. This paper is discussed in a survey (T. von Landesberger et al: "Visual Analysis of Large Graphs: State-of-the-Art and Future Research Challenges", Computer Graphics Forum 30(2011)1719-1749) as an intuitive method for large graph visualization.

Interdisciplinary

Cross-referral requested

Research group

B - Visual Computing

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract