Matrices or node-link diagrams: Which visual representation is better for visualising connectivity models?

René Keller*, Claudia M. Eckert, P. John Clarkson

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

119 Citations (Scopus)

Abstract

Adjacency matrices or DSMs (design structure matrices) and node-link diagrams are both visual representations of graphs, which are a common form of data in many disciplines. DSMs are used throughout the engineering community for various applications, such as process modelling or change prediction. However, outside this community, DSMs (and other matrix-based representations of graphs) are rarely applied and node-link diagrams are very popular. This paper will examine, which representation is more suitable for visualising graphs. For this purpose, several user experiments were conducted that aimed to answer this research question in the context of product models used, for example in engineering, but the results can be generalised to other applications. These experiments identify key factors on the readability of graph visualisations and confirm work on comparisons of different representations. This study widens the scope of readability comparisons between node-link and matrix-based representations by introducing new user tasks and replacing simulated, undirected graphs with directed ones employing real-world semantics.

Original languageEnglish
Pages (from-to)62-76
Number of pages15
JournalInformation Visualization
Volume5
Issue number1
DOIs
Publication statusPublished - Mar 2006
Externally publishedYes

Keywords

  • Design structure matrix
  • Engineering change
  • Evaluation
  • Graph visualisation
  • Readability

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