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International Conference on Theory and Application of Diagrams

Diagrams 2008: Diagrammatic Representation and Inference pp 60–73Cite as

Extremes Are Better: Investigating Mental Map Preservation in Dynamic Graphs

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5223))

Abstract

Research on effective algorithms for efficient graph layout continues apace, and faster technology has led to increasing research on algorithms for the depiction of dynamic graphs which represent changing relational information over time. Like the static layout algorithms that preceded these, empirical work lags behind their design, and assumptions are made about how users’ comprehension may be enhanced without human data to support them. This paper presents an experiment investigating an existing dynamic layout algorithm, focusing on the effect of the preservation of the mental map on comprehension. The results indicate that extremes produce better performance, suggesting that individual preference may be important.

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Authors and Affiliations

  1. Department of Computing Science, Univerity of Glasgow, G12 8QQ, UK

    Helen C. Purchase & Amanjit Samra

Authors
  1. Helen C. Purchase
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  2. Amanjit Samra
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Gem Stapleton John Howse John Lee

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© 2008 Springer-Verlag Berlin Heidelberg

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Purchase, H.C., Samra, A. (2008). Extremes Are Better: Investigating Mental Map Preservation in Dynamic Graphs. In: Stapleton, G., Howse, J., Lee, J. (eds) Diagrammatic Representation and Inference. Diagrams 2008. Lecture Notes in Computer Science(), vol 5223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87730-1_9

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  • DOI: https://doi.org/10.1007/978-3-540-87730-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87729-5

  • Online ISBN: 978-3-540-87730-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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