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Published Articles >> Table of Contents >> Abstract
2003 IEEE Symposium on Information Visualization
p. 7
EdgeLens: An Interactive Method for Managing Edge Congestion in Graphs
Nelson Wong, University of Calgary
Sheelagh Carpendale, University of Calgary
Saul Greenberg, University of Calgary
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/INFVIS.2003.1249008
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| Abstract |
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An increasing number of tasks require people to explore, navigate and search extremely complex data sets visualized as graphs. Examples include electrical and telecommunication networks, web structures, and airline routes. The problem is that graphs of these real world data sets have many interconnected nodes, ultimately leading to edge congestion: the density of edges is so great that they obscure nodes, individual edges, and even the visual information beneath the graph. To address this problem we developed an interactive technique called EdgeLens. An EdgeLens interactively curves graph edges away from a person’s focus of attention without changing the node positions. This opens up sufficient space to disambiguate node and edge relationships and to see underlying information while still preserving node layout. Initially two methods of creating this interaction were developed and compared in a user study. The results of this study were used in the selection of a basic approach and the subsequent development of the EdgeLens. We then improved the EdgeLens through use of transparency and colour and by allowing multiple lenses to appear on the graph.
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 Additional Information
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Index Terms- Navigation, graph layout, distortion lens, information
visualization, edge congestion, interactive visualization
Citation:
Nelson Wong, Sheelagh Carpendale, Saul Greenberg,
"EdgeLens: An Interactive Method for Managing Edge Congestion in Graphs,"
infovis,
p. 7,
2003 IEEE Symposium on Information Visualization,
2003
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