GION: Interactively Untangling Large Graphs on Wall-Sized Displays

Data sets of very large graphs are now commonplace; the scale of these graphs presents considerable difficulties for graph visualization methods. The use of interactive techniques and large screens have been proposed as two possible avenues to address these difficulties.This paper presents GION, a new skeletal animation technique for interacting with large graphs on wall-sized displays. Our technique is based on a physical simulation, and aims to enhance the users' ability to efficiently interact with the graph visualization for exploratory analysis. We conducted a user study to evaluate our technique against standard operations available in most graph layout editors, and the study shows that the new technique produces layouts with less stress, and fewer edge crossings. GION is preferred by users, and requires significantly less mouse movement.

[1]  Chris North,et al.  Move to improve: promoting physical navigation to increase user performance with large displays , 2007, CHI.

[2]  Chris North,et al.  A Comparison of User-Generated and Automatic Graph Layouts , 2009, IEEE Transactions on Visualization and Computer Graphics.

[3]  John P. Lewis,et al.  Pose Space Deformation: A Unified Approach to Shape Interpolation and Skeleton-Driven Deformation , 2000, SIGGRAPH.

[4]  Bruce H. Thomas,et al.  Applying cartoon animation techniques to graphical user interfaces , 2001, TCHI.

[5]  Masahiro Takatsuka,et al.  Graph Interaction through Force-Based Skeletal Animation , 2004, InVis.au.

[6]  Yifan Hu,et al.  A Maxent-Stress Model for Graph Layout , 2012, IEEE Transactions on Visualization and Computer Graphics.

[7]  W. Brent Seales,et al.  Multi-projector displays using camera-based registration , 1999, Proceedings Visualization '99 (Cat. No.99CB37067).

[8]  Michael Jünger,et al.  Large-Graph Layout Algorithms at Work: An Experimental Study , 2007, J. Graph Algorithms Appl..

[9]  S. Sudarshan,et al.  Graph Clustering for Keyword Search , 2009, COMAD.

[10]  S.,et al.  An Efficient Heuristic Procedure for Partitioning Graphs , 2022 .

[11]  Yifan Hu,et al.  COAST: A Convex Optimization Approach to Stress-Based Embedding , 2013, GD.

[12]  Weidong Huang,et al.  Improving Force-Directed Graph Drawings by Making Compromises Between Aesthetics , 2010, 2010 IEEE Symposium on Visual Languages and Human-Centric Computing.

[13]  Chris North,et al.  A multiscale interaction technique for large, high-resolution displays , 2009, 2009 IEEE Symposium on 3D User Interfaces.

[14]  Helen C. Purchase,et al.  Which Aesthetic has the Greatest Effect on Human Understanding? , 1997, GD.

[15]  Helen C. Purchase,et al.  Metrics for Graph Drawing Aesthetics , 2002, J. Vis. Lang. Comput..

[16]  Tim Dwyer,et al.  Skeletal Animation for the Exploration of Graphs , 2004, InVis.au.

[17]  Eric Rofes,et al.  Christchurch, New Zealand , 2003, The Statesman’s Yearbook Companion.

[18]  Chris Welman,et al.  INVERSE KINEMATICS AND GEOMETRIC CONSTRAINTS FOR ARTICULATED FIGURE MANIPULATION , 1993 .