Aesthetics-based graph layout for human consumption
Software—Practice & Experience
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Validating Graph Drawing Aesthetics
GD '95 Proceedings of the Symposium on Graph Drawing
Which Aesthetic has the Greatest Effect on Human Understanding?
GD '97 Proceedings of the 5th International Symposium on Graph Drawing
Cognitive measurements of graph aesthetics
Information Visualization
ManyEyes: a Site for Visualization at Internet Scale
IEEE Transactions on Visualization and Computer Graphics
Applying layout algorithms to hand-drawn graphs
OZCHI '07 Proceedings of the 19th Australasian conference on Computer-Human Interaction: Entertaining User Interfaces
Perceptual Organization in User-Generated Graph Layouts
IEEE Transactions on Visualization and Computer Graphics
Layout effects on sociogram perception
GD'05 Proceedings of the 13th international conference on Graph Drawing
Graph drawing by stress majorization
GD'04 Proceedings of the 12th international conference on Graph Drawing
SketchNode: intelligent sketching support and formal diagramming
Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction
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Empirical work on appropriate layout aesthetics for graph drawing algorithms has concentrated on the interpretation of existing graph drawings. A more recent experiment has considered layout aesthetics from the point of view of users moving nodes in an existing graph drawing so as to create a desirable layout. The project reported here extends this research further, by asking participants to use sketching software to draw graphs based on adjacency lists, and to then lay them out -- removing any bias caused by an initial configuration. We find, in common with many other studies, that removing edge crossings is the most significant aesthetic, but also discover that aligning nodes and edges to an underlying grid is important, especially to male participants who have Computer Science experience. We observe that the aesthetics favoured by participants during creation of a graph drawing are often not evident in the final product.