Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
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
A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
How people read sociograms: a questionnaire study
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Predicting graph reading performance: a cognitive approach
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Bipartite graph representation of multiple decision table classifiers
SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
Graph drawing aesthetics in user-sketched graph layouts
AUIC '10 Proceedings of the Eleventh Australasian Conference on User Interface - Volume 106
Exploring the relative importance of crossing number and crossing angle
Proceedings of the 3rd International Symposium on Visual Information Communication
Evaluating partially drawn links for directed graph edges
GD'11 Proceedings of the 19th international conference on Graph Drawing
Establishing aesthetics based on human graph reading behavior: two eye tracking studies
Personal and Ubiquitous Computing
GD'12 Proceedings of the 20th international conference on Graph Drawing
Improving multiple aesthetics produces better graph drawings
Journal of Visual Languages and Computing
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This paper describes a within-subjects experiment in which we compare the relative effectiveness of five sociogram drawing conventions in communicating underlying network substance, based on user task performance and usability preference, in order to examine effects of different spatial layout formats on human sociogram perception. We also explore the impact of edge crossings, a widely accepted readability aesthetic. Subjective data were gathered based on the methodology of Purchase et al.[14] Objective data were collected through an online system. We found that both edge crossings and conventions pose significant affects on user preference and task performance of finding groups, but either has little impact on the perception of actor status. On the other hand, the node positioning and angular resolution might be more important in perceiving actor status. In visualizing social networks, it is important to note that the techniques that are highly preferred by users do not necessarily lead to best task performance.