Evaluating force-directed algorithms with a new framework

  • Authors:
  • Maolin Huang;Weidong Huang;Chun-Cheng Lin

  • Affiliations:
  • University of Technology, Sydney, Australia;CSIRO ICT Centre, Australia;National Chiao Tung University, Taiwan

  • Venue:
  • Proceedings of the 27th Annual ACM Symposium on Applied Computing
  • Year:
  • 2012

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Abstract

Force-directed algorithms are widely used in practice for graph drawing. How to evaluate this type of algorithms has been a challenging issue since their performance largely depends on input parameters and thus is not consistent. In this paper, we first review previous approaches used for evaluation of force-directed algorithms. We then present a case study that compares two force-directed algorithms following a newly proposed evaluation framework. This study evaluates the performance of these algorithms in terms of six commonly applied aesthetic criteria and demonstrates how the framework is used. Advantages of this evaluation framework are discussed.