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Encoding presentation emphasis algorithms for graphs

  • Emanuel G. Noik
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 894)

Abstract

While graphs can effectively visualize one or more relations on a set of elements, drawings of large graphs can be difficult to understand. As such, many presentation emphasis techniques for visualizing graphs such as fisheye views have been proposed. A recent survey paper [9] described an abstract space of techniques and identified common shortcomings. Here we outline a high-level language that addresses several of these limitations; the language is used to: 1) select subsets of graph elements; 2) compute a real-valued priority for each element; and, 3) encode presentation strategies that automatically emphasize elements based on subset membership and priority.

Keywords

Relational Algebra Graphical Attribute Graph Layout Line Style Containment Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Emanuel G. Noik
    • 1
  1. 1.CSRIUniversity of TorontoTorontoCanada

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