Graph drawing by force-directed placement
Software—Practice & Experience
Does organisation by similarity assist image browsing?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Which Aesthetic has the Greatest Effect on Human Understanding?
GD '97 Proceedings of the 5th International Symposium on Graph Drawing
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Proceedings of the 2008 ACM workshop on Search in social media
InfoTouch: an explorative multi-touch visualization interface for tagged photo collections
Proceedings of the 5th Nordic conference on Human-computer interaction: building bridges
MediaGLOW: organizing photos in a graph-based workspace
Proceedings of the 14th international conference on Intelligent user interfaces
Comparison of Tag Cloud Layouts: Task-Related Performance and Visual Exploration
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
Representing and visualizing folksonomies as graphs: a reference model
Proceedings of the International Working Conference on Advanced Visual Interfaces
Bisociative Knowledge Discovery
Hi-index | 0.00 |
Understanding relationships and commonalities between digital contents based on metadata is a difficult user task that requires sophisticated presentation forms. In this paper, we describe an advanced graph visualization that supports users with these activities. It reduces several problems of common graph visualizations and provides a specific chain arrangement of nodes that facilitates visual tracking of relationships. We present a concrete implementation for the exploration of relationships between images based on shared tags. An evaluation with a comparative user study shows good performance results on several dimensions. We therefore conclude that the ChainGraph approach can be considered a serious alternative to common graph visualizations in situations where relationships and commonalities between contents are of interest. After a discussion of the limitations, we finally point to some application scenarios and future enhancements.