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An experimental study of the basis for graph drawing algorithms
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Source Journal of Experimental Algorithmics (JEA) archive
Volume 2 ,  (1997) table of contents
Article No. 4  
Year of Publication: 1997
ISSN:1084-6654
Authors
H. C. Purchase  Univ. of Queensland, St. Lucia, Australia
R. F. Cohen  Univ. of Newcastle, North South Wales, Australia
M. I. James  Univ. of Queensland, St. Lucia, Australia
Publisher
ACM  New York, NY, USA
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ABSTRACT

Designers of graph drawing algorithms and systems claim to illuminate application data by producing layouts that optimise measurable aesthetic qualities. Examples of these aesthetics include symmetry (where possible, a symmetrical view of the graph should be displayed), minimise arc crossing(the number of arc crossings in the display should be minimised), and minimise bends (the total number of bends in polyline arcs should be minimised).The aim of this paper is to describe our work to validate these claims by performing empirical studies of human understanding of graphs drawn using various layout aesthetics. This work is important since it helps indicate to algorithm and system designers what are the aesthetic qualities most important to aid understanding, and consequently to build more effective systems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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BHANJI, S., PURCHASE, H., COHEN, a., AND JAMES, M. 1995. Validating graph drawing aesthetics: A pilot study. Technical Report 336, University of Queensland Department of Computer Science.
 
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EADES, P. 1984. A heuristic for graph drawing. <i>Congressus Numerantium 42</i>, 149-160.
 
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FERRARI, D. AND MEZZALIRA, L. 1969. On drawing a graph with the minimum number of crossings. Technical Report 69-11, Istituto di Elettrotecnica ed Elettronica, Politecnico di Milano.
 
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GOTTSDANKER, a. 1978. <i>Experimenting in Psychology</i>. Prentice-Hall.
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PURCHASE, H. AND LEONARD, D. 1996. Graph drawing aesthetic metrics. Technical Report 361, University of Queensland Department of Computer Science.
 
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SIEGEL, S. 1956. <i>Nonparametric Statistics for the Behavioral Sciences</i>. McGraw-Hill.
 
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CITED BY  13

Collaborative Colleagues:
H. C. Purchase: colleagues
R. F. Cohen: colleagues
M. I. James: colleagues