Abstract
Many graphs used in real-world applications consist of nodes belonging to more than one category. We call such graph "multiplecategory graphs". Social networks are typical examples of multiplecategory graphs: nodes are persons, links are friendships, and categories are communities that the persons belong to. It is often helpful to visualize both connectivity and categories of the graphs simultaneously. In this paper, we present a new visualization technique for multiple-category graphs. The technique firstly constructs hierarchical clusters of the nodes based on both connectivity and categories. It then places the nodes by a new hybrid space-filling and force-directed layout algorithm to clearly display both connectivity and category information. We show layout results using our hybrid method and compare it with other methods, and present a case study using an active biological network dataset.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE Pacific Visualization Symposium, PacificVis 2009 - Proceedings |
| Pages | 121-128 |
| Number of pages | 8 |
| DOIs | |
| State | Published - Jul 21 2009 |
| Event | IEEE Pacific Visualization Symposium, PacificVis 2009 - Beijing, China Duration: Apr 20 2009 → Apr 23 2009 |
Other
| Other | IEEE Pacific Visualization Symposium, PacificVis 2009 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 4/20/09 → 4/23/09 |
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Keywords
- Active biological network
- Clustering
- Force directed layout
- Graph visualization
- Information visualization
- Multiple-category graphs
- Space-filling hierarchical data visualization
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Software