GD '02 Revised Papers from the 10th International Symposium on Graph Drawing
A system for graph-based visualization of the evolution of software
Proceedings of the 2003 ACM symposium on Software visualization
Comparison of metabolic pathways using constraint graph drawing
APBC '03 Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 - Volume 19
Exploring Connectivity of the Brain's White Matter with Dynamic Queries
IEEE Transactions on Visualization and Computer Graphics
IV '09 Proceedings of the 2009 13th International Conference Information Visualisation
Honeycomb: Visual Analysis of Large Scale Social Networks
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
Exploring 3D DTI Fiber Tracts with Linked 2D Representations
IEEE Transactions on Visualization and Computer Graphics
Depth-Dependent Halos: Illustrative Rendering of Dense Line Data
IEEE Transactions on Visualization and Computer Graphics
Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs
IEEE Transactions on Visualization and Computer Graphics
Interactive graph matching and visual comparison of graphs and clustered graphs
Proceedings of the International Working Conference on Advanced Visual Interfaces
Visual comparison for information visualization
Information Visualization - Special issue on State of the Field and New Research Directions
Preserving the mental map using foresighted layout
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
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The analysis of brain connectivity is a vast field in neuroscience with a frequent use of visual representations and an increasing need for visual analysis tools. Based on an in-depth literature review and interviews with neuroscientists, we explore high-level brain connectivity analysis tasks that need to be supported by dedicated visual analysis tools. A significant example of such a task is the comparison of different connectivity data in the form of weighted graphs. Several approaches have been suggested for graph comparison within information visualization, but the comparison of weighted graphs has not been addressed. We explored the design space of applicable visual representations and present augmented adjacency matrix and node-link visualizations. To assess which representation best support weighted graph comparison tasks, we performed a controlled experiment. Our findings suggest that matrices support these tasks well, outperforming node-link diagrams. These results have significant implications for the design of brain connectivity analysis tools that require weighted graph comparisons. They can also inform the design of visual analysis tools in other domains, e.g. comparison of weighted social networks or biological pathways.