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Keller, R; Eger, T; Eckert, Claudia and Clarkson, P.J.
(2006).
DOI: https://doi.org/10.1057/palgrave.ivs.9500116
URL: http://www.palgrave-journals.com/ivs/journal/v5/n1...
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.
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About
- Item ORO ID
- 18627
- Item Type
- Journal Item
- ISSN
- 1473-8716
- Keywords
- Graph visualisation; readability; evaluation; design structure matrix; engineering change
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2006 Palgrave Macmillan
- Depositing User
- Users 8128 not found.