Output details
11 - Computer Science and Informatics
Swansea University
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Output 0 of 0 in the submission
Article title
GrouseFlocks: Steerable Exploration of Graph Hierarchy Space
Type
D - Journal article
Title of journal
IEEE Transactions on Visualization and Computer Graphics
Article number
-
Volume number
14
Issue number
4
First page of article
900
ISSN of journal
1077-2626
Year of publication
2008
URL
-
Number of additional authors
2
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
26
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-