Navigating hierarchically clustered networks through fisheye and full-zoom methods
ACM Transactions on Computer-Human Interaction (TOCHI)
Information visualisation using composable layouts and visual sets
APVis '01 Proceedings of the 2001 Asia-Pacific symposium on Information visualisation - Volume 9
Which Aesthetic has the Greatest Effect on Human Understanding?
GD '97 Proceedings of the 5th International Symposium on Graph Drawing
A Fast Adaptive Layout Algorithm for Undirected Graphs
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
Multilevel Visualization of Clustered Graphs
GD '96 Proceedings of the Symposium on Graph Drawing
Interactive Visualization of Small World Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Topological Fisheye Views for Visualizing Large Graphs
IEEE Transactions on Visualization and Computer Graphics
Visual exploration of multivariate graphs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How people read sociograms: a questionnaire study
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
ASK-GraphView: A Large Scale Graph Visualization System
IEEE Transactions on Visualization and Computer Graphics
Graph Visualization Techniques for Web Clustering Engines
IEEE Transactions on Visualization and Computer Graphics
Mapping and visualizing the internet
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
GrouseFlocks: Steerable Exploration of Graph Hierarchy Space
IEEE Transactions on Visualization and Computer Graphics
Beyond time and error: a cognitive approach to the evaluation of graph drawings
Proceedings of the 2008 Workshop on BEyond time and errors: novel evaLuation methods for Information Visualization
Perceptual Organization in User-Generated Graph Layouts
IEEE Transactions on Visualization and Computer Graphics
Structural differences between two graphs through hierarchies
Proceedings of Graphics Interface 2009
A graph reading behavior: Geodesic-path tendency
PACIFICVIS '09 Proceedings of the 2009 IEEE Pacific Visualization Symposium
IEEE Transactions on Visualization and Computer Graphics
Difference map readability for dynamic graphs
GD'10 Proceedings of the 18th international conference on Graph drawing
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Graph visualization systems often exploit opaque metanodes to reduce visual clutter and improve the readability of large graphs. This filtering can be done in a path-preserving way based on attribute values associated with the nodes of the graph. Despite extensive use of these representations, as far as we know, no formal experimentation exists to evaluate if they improve the readability of graphs. In this paper, we present the results of a user study that formally evaluates how such representations affect the readability of graphs. We also explore the effect of graph size and connectivity in terms of this primary research question. Overall, for our tasks, we did not find a significant difference when this clustering is used. However, if the graph is highly connected, these clusterings can improve performance. Also, if the graph is large enough and can be simplified into a few metanodes, benefits in performance on global tasks are realized. Under these same conditions, however, performance of local attribute tasks may be reduced.