Information visualization: perception for design
Information visualization: perception for design
Drawing graphs: methods and models
Drawing graphs: methods and models
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
Communicating Centrality in Policy Network Drawings
IEEE Transactions on Visualization and Computer Graphics
Cognitive measurements of graph aesthetics
Information Visualization
A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
APVis '05 proceedings of the 2005 Asia-Pacific symposium on Information visualisation - Volume 45
Layout effects on sociogram perception
GD'05 Proceedings of the 13th international conference on Graph Drawing
Mining and visualizing developer networks from version control systems
Proceedings of the 4th International Workshop on Cooperative and Human Aspects of Software Engineering
An aggregation-based approach to quality evaluation of graph drawings
Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
The readability of path-preserving clusterings of graphs
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
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Visualizing social network data into sociograms plays an important role in communicating information about network characteristics. Previous studies have shown that human perceptions of network features can be affected by the layout of a sociogram [McGrath et al. 1996, 1997]. An empirical user study has been conducted to investigate effectiveness of five different network visualization conventions and impact of edge crossings on sociogram perceptions, using both quantitative performance and preference measures and qualitative questionnaire study. This paper reports results and findings of the questionnaire study. We relate qualitative questionnaire results with quantitative findings and discuss their implications for sociogram design. We found that subjects had a strong preference of placing nodes on the top or in the center to highlight importance, and clustering nodes in the same group and separating groups to highlight groups. They had tendency to believe that nodes in the center or on the top are more important, and nodes in close proximity belong to the same group. Some preliminary recommendations for sociogram design and hypotheses about human reading behaviors are proposed.