Task taxonomy for graph visualization

  • Authors:

  • Bongshin Lee;Catherine Plaisant;Cynthia Sims Parr;Jean-Daniel Fekete;Nathalie Henry

  • Affiliations:

  • University of Maryland, College Park, MD;University of Maryland, College Park, MD;University of Maryland, College Park, MD;INRIA Futurs/LRI, Université Paris-Sud, Orsay, France;INRIA Futurs/LRI, Université Paris-Sud, Orsay, France

  • Venue:
  • Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
  • Year:
  • 2006

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Abstract

Our goal is to define a list of tasks for graph visualization that has enough detail and specificity to be useful to: 1) designers who want to improve their system and 2) to evaluators who want to compare graph visualization systems. In this paper, we suggest a list of tasks we believe are commonly encountered while analyzing graph data. We define graph specific objects and demonstrate how all complex tasks could be seen as a series of low-level tasks performed on those objects. We believe that our taxonomy, associated with benchmark datasets and specific tasks, would help evaluators generalize results collected through a series of controlled experiments.