Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
Envisioning information
A framework for dynamic graph drawing
SCG '92 Proceedings of the eighth annual symposium on Computational geometry
Journal of Artificial Intelligence in Education
Aesthetics-based graph layout for human consumption
Software—Practice & Experience
Drawing graphs
Learning to Think and Communicate with Diagrams: 14 Questions to Consider
Artificial Intelligence Review
IEEE Software
Validating Graph Drawing Aesthetics
GD '95 Proceedings of the Symposium on Graph Drawing
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
A Bayesian Paradigm for Dynamic Graph Layout
GD '97 Proceedings of the 5th International Symposium on Graph Drawing
Difference Metrics for Interactive Orthogonal Graph Drawing Algorithms
GD '98 Proceedings of the 6th International Symposium on Graph Drawing
GD '02 Revised Papers from the 10th International Symposium on Graph Drawing
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Does Animation Help Users Build Mental Maps of Spatial Information?
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Cognitive measurements of graph aesthetics
Information Visualization
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Dynamic Drawing of Clustered Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Improving revisitation in fisheye views with visit wear
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Effects of 2D geometric transformations on visual memory
APGV '06 Proceedings of the 3rd symposium on Applied perception in graphics and visualization
Mental map preserving graph drawing using simulated annealing
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Can smooth view transitions facilitate perceptual constancy in node-link diagrams?
GI '07 Proceedings of Graphics Interface 2007
Spatialization Design: Comparing Points and Landscapes
IEEE Transactions on Visualization and Computer Graphics
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
IEEE Transactions on Visualization and Computer Graphics
The "mental map" versus "static aesthetic" compromise in dynamic graphs: a user study
AUIC '08 Proceedings of the ninth conference on Australasian user interface - Volume 76
The effect of animated transitions in zooming interfaces
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Extremes Are Better: Investigating Mental Map Preservation in Dynamic Graphs
Diagrams '08 Proceedings of the 5th international conference on Diagrammatic Representation and Inference
Cerebral: Visualizing Multiple Experimental Conditions on a Graph with Biological Context
IEEE Transactions on Visualization and Computer Graphics
Comparing Dot and Landscape Spatializations for Visual Memory Differences
IEEE Transactions on Visualization and Computer Graphics
How important is the "Mental map"?: an empirical investigation of a dynamic graph layout algorithm
GD'06 Proceedings of the 14th international conference on Graph drawing
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Visualizing internet evolution on the autonomous systems level
GD'07 Proceedings of the 15th international conference on Graph drawing
Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs
IEEE Transactions on Visualization and Computer Graphics
Difference map readability for dynamic graphs
GD'10 Proceedings of the 18th international conference on Graph drawing
Improving revisitation in graphs through static spatial features
Proceedings of Graphics Interface 2011
Proceedings of Graphics Interface 2011
The notion of overview in information visualization
International Journal of Human-Computer Studies
Parallel Edge Splatting for Scalable Dynamic Graph Visualization
IEEE Transactions on Visualization and Computer Graphics
Dynamic spectral layout of small worlds
GD'05 Proceedings of the 13th international conference on Graph Drawing
Dynamic graph drawing of sequences of orthogonal and hierarchical graphs
GD'04 Proceedings of the 12th international conference on Graph Drawing
Graph drawing by stress majorization
GD'04 Proceedings of the 12th international conference on Graph Drawing
A quantitative comparison of stress-minimization approaches for offline dynamic graph drawing
GD'11 Proceedings of the 19th international conference on Graph Drawing
The mental map and memorability in dynamic graphs
PACIFICVIS '12 Proceedings of the 2012 IEEE Pacific Visualization Symposium
Effective temporal graph layout: a comparative study of animation versus static display methods
Information Visualization
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Preserving the mental map is frequently cited by dynamic graph drawing algorithm designers as an important optimization criterion. There have been a number of definitions for mental map preservation and many different algorithmic approaches to drive dynamic graph drawing to satisfy these definitions. One of the most frequently used definitions is that of Coleman and Parker where ''the placement of existing nodes and edges should change as little as possible when a change is made to the graph.'' A number of experiments have been run to test the effectiveness of this definition from a usability perspective. To date, no experiment has found conclusive evidence that supports the effectiveness of the mental map in the comprehension of a dynamic graph series. In this paper, we summarize the experiments conducted on this definition of mental map preservation and provide recommendations to designers and researchers to fully understand when the mental map supports user tasks.