CHI '11 Extended Abstracts on Human Factors in Computing Systems
Proceedings of Graphics Interface 2011
International Journal of Human-Computer Studies
Hierarchically animated transitions in visualizations of tree structures
Proceedings of the International Working Conference on Advanced Visual Interfaces
Perception of Animated Node-Link Diagrams for Dynamic Graphs
Computer Graphics Forum
PORGY: A Visual Graph Rewriting Environment for Complex Systems
Computer Graphics Forum
Flowstrates: an approach for visual exploration of temporal origin-destination data
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Mental map preservation helps user orientation in dynamic graphs
GD'12 Proceedings of the 20th international conference on Graph Drawing
Clustering, visualizing, and navigating for large dynamic graphs
GD'12 Proceedings of the 20th international conference on Graph Drawing
Weighted graph comparison techniques for brain connectivity analysis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Untangling graphs representing spatial relationships driven by drawing aesthetics
Proceedings of the 17th Panhellenic Conference on Informatics
Improving multiple aesthetics produces better graph drawings
Journal of Visual Languages and Computing
Interactive visualization of evolving force-directed graphs
DUXU'13 Proceedings of the Second international conference on Design, User Experience, and Usability: web, mobile, and product design - Volume Part IV
The "Map" in the mental map: Experimental results in dynamic graph drawing
International Journal of Human-Computer Studies
Visualizing protected variations in evolving software designs
Journal of Systems and Software
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In this paper, we present the results of a human-computer interaction experiment that compared the performance of the animation of dynamic graphs to the presentation of small multiples and the effect that mental map preservation had on the two conditions. Questions used in the experiment were selected to test both local and global properties of graph evolution over time. The data sets used in this experiment were derived from standard benchmark data sets of the information visualization community. We found that small multiples gave significantly faster performance than animation overall and for each of our five graph comprehension tasks. In addition, small multiples had significantly more errors than animation for the tasks of determining sets of nodes or edges added to the graph during the same timeslice, although a positive time-error correlation coefficient suggests that, in this case, faster responses did not lead to more errors. This result suggests that, for these two tasks, animation is preferable if accuracy is more important than speed. Preserving the mental map under either the animation or the small multiples condition had little influence in terms of error rate and response time.