CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A review and taxonomy of distortion-oriented presentation techniques
ACM Transactions on Computer-Human Interaction (TOCHI)
Navigating hierarchically clustered networks through fisheye and full-zoom methods
ACM Transactions on Computer-Human Interaction (TOCHI)
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Force-transfer: a new approach to removing overlapping nodes in graph layout
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
Effective Graph Visualization Via Node Grouping
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
A graph-based interface to complex hypermedia structure visualization
Proceedings of the working conference on Advanced visual interfaces
Interactive Visualization of Small World Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
SeMap: A Concept for the Visualization of Semantics as Maps
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
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Graphs provide good representations for many domains. Interactive graph-based interfaces are desireable to browse and edit data for these domains. However, as graphs increase in size, interactive interfaces risk information overload and low responsiveness. Focus+context approaches overcome these problems by presenting abridged views of the graph. Users can then navigate among views with a level-of-detail mechanism. If jumps from each view to the next are easy to follow, users will gain a good mental map of the whole graph; otherwise, they may become disoriented.In this work, we identify three factors that affect mental map preservation during navigation of interactive focus+context graphs: the predictability of navigational actions, the degree of change from one view to the next, and the traceability of changes once they occur. Strategies for preserving user orientation are classified according to these factors, and new strategies developed for the CLOVER visualization environment are presented.