標題: Improving multiple aesthetics produces better graph drawings
作者: Huang, Weidong
Eades, Peter
Hong, Seok-Hee
Lin, Chun-Cheng
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: Graph drawing;Force-directed algorithms;Aesthetic criteria;Crossing angles;Angular resolution;Evaluation;Effectiveness
公開日期: 1-八月-2013
摘要: Many automatic graph drawing algorithms implement only one or two aesthetic criteria since most aesthetics conflict with each other. Empirical research has shown that although those algorithms are based on different aesthetics, drawings produced by them have comparable effectiveness. The comparable effectiveness raises a question about the necessity of choosing one algorithm against another for drawing graphs when human performance is a main concern. In this paper, we argue that effectiveness can be improved when algorithms are designed by making compromises between aesthetics, rather than trying to satisfy one or two of them to the fullest. We therefore introduce a new algorithm: BIGANGLE. This algorithm produces drawings with multiple aesthetics being improved at the same time, compared to a classical spring algorithm. A user study comparing these two algorithms indicates that BIGANGLE induces a significantly better task performance and a lower cognitive load, therefore resulting in better graph drawings in terms of human cognitive efficiency. Our study indicates that aesthetics should not be considered separately. Improving multiple aesthetics at the same time, even to small extents, will have a better chance to make resultant drawings more effective. Although this finding is based on a study of algorithms, it also applies in general graph visualization and evaluation. (C) 2011 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.jvlc.2011.12.002
http://hdl.handle.net/11536/22131
ISSN: 1045-926X
DOI: 10.1016/j.jvlc.2011.12.002
期刊: JOURNAL OF VISUAL LANGUAGES AND COMPUTING
Volume: 24
Issue: 4
起始頁: 262
結束頁: 272
顯示於類別:期刊論文


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