Communications of the ACM
Algorithms for drawing graphs: an annotated bibliography
Computational Geometry: Theory and Applications
Designing engineers
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
An experimental study of the basis for graph drawing algorithms
Journal of Experimental Algorithmics (JEA)
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
An open graph visualization system and its applications to software engineering
Software—Practice & Experience - Special issue on discrete algorithm engineering
The Effect of Graph Layout on Inference from Social Network Data
GD '95 Proceedings of the Symposium on Graph Drawing
User perceptual mechanisms in the search of computer command menus
CHI '82 Proceedings of the 1982 Conference on Human Factors in Computing Systems
Multiple Views to Support Engineering Change Management for Complex Products
CMV '05 Proceedings of the Coordinated and Multiple Views in Exploratory Visualization
Constructing and reconstructing the reorderable matrix
Information Visualization
Visualization based policy analysis: case study in SELinux
Proceedings of the 13th ACM symposium on Access control models and technologies
DClusterE: A Framework for Evaluating and Understanding Document Clustering Using Visualization
ACM Transactions on Intelligent Systems and Technology (TIST)
Path visualization for adjacency matrices
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Visual approach facilitating the importance analysis of component fault trees
SAFECOMP'12 Proceedings of the 2012 international conference on Computer Safety, Reliability, and Security
Spatial autocorrelation-based information visualization evaluation
Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors - Novel Evaluation Methods for Visualization
Technical Section: PLATO: A visual analytics system for gameplay data
Computers and Graphics
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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.