The Spherical Retractable Bubble Space: An Egocentric Graph Visualization throughout a Retractable Visualization Space

Abstract

In this paper, we present a new egocentric metaphor for graph visualization that consists in positioning a graph between two concentric spheres of different radii. It improves the expansion of nodes in space, contrary to 3D spatialization algorithms. The edge drawing is optimized by pushing all the edges into the area delimited by our two concentric spheres so that a user can move freely without being encumbered by edges. Our new metaphor also makes it possible to reduce the display angles in order to have a global view of the graph without leaving the egocentricity.

Keywords

• immersive analytics
• big data visualization
• virtual reality