Animated Drag and Drop Interaction for Dynamic Multidimensional Graphs

In this paper, we propose a new drag and drop interaction technique for graphs. We designed this interaction to support analysis in complex multidimensional and temporal graphs. The drag and drop interaction is enhanced with an intuitive and controllable animation, in support of comparison tasks.

[1]  Barbara Tversky,et al.  Animation: can it facilitate? , 2002, Int. J. Hum. Comput. Stud..

[2]  Allan R. Wilks,et al.  Dynamic Graphics for Data Analysis , 1987 .

[3]  Graham J. Wills,et al.  Linked Data Views , 2008 .

[4]  Duy-Dinh Le,et al.  Visual Analytics of Political Networks From Face-Tracking of News Video , 2016, IEEE Transactions on Multimedia.

[5]  Jarke J. van Wijk,et al.  Small Multiples, Large Singles: A New Approach for Visual Data Exploration , 2013, Comput. Graph. Forum.

[6]  K. Koffka.  Perception: an introduction to the Gestalt-Theorie. , 1922 .

[7]  Adalbert F. X. Wilhelm,et al.  Linked Views for Visual Exploration , 2008 .

[8]  Guy Melançon,et al.  Tulip 5 , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[9]  Pierre Dragicevic,et al.  Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation , 2008, IEEE Transactions on Visualization and Computer Graphics.

[10]  Shin'ichi Satoh,et al.  Generating “Visual Clouds” from Multiplex Networks for TV News Archive Query Visualization , 2018, 2018 International Conference on Content-Based Multimedia Indexing (CBMI).

[11]  A. A. Bielskis,et al.  Macintosh human interface guidelines , 1992 .

[12]  John T. Stasko,et al.  The Parallel Coordinates Matrix , 2012, EuroVis.

[13]  Tamara Munzner,et al.  Detangler: Visual Analytics for Multiplex Networks , 2015, Comput. Graph. Forum.

[14]  Daniel W. Archambault,et al.  Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs , 2011, IEEE Transactions on Visualization and Computer Graphics.