Abstract
Our visualisation of the IEEE InfoVis citation network is based on 3D graph visualisation techniques. To make effective use of the third dimension we use a layered approach, constraining nodes to lie on parallel planes depending on parameters such as year of publication or link degree. Within the parallel planes nodes are arranged using a fast force-directed layout method. A number of clusters representing different research areas were identified using a self organising map approach.
| Original language | English |
|---|---|
| Title of host publication | IEEE Symposium on Information Visualization |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Number of pages | 2 |
| ISBN (Print) | 0780387793 |
| DOIs | |
| Publication status | Published - 2004 |
| Externally published | Yes |
| Event | IEEE Symposium on Information Visualization 2004 - Austin, United States of America Duration: 10 Oct 2004 → 12 Oct 2004 Conference number: 10th https://ieeexplore.ieee.org/xpl/conhome/9496/proceeding |
Publication series
| Name | Proceedings - IEEE Symposium on Information Visualization, INFO VIS |
|---|---|
| ISSN (Print) | 1522-404X |
Conference
| Conference | IEEE Symposium on Information Visualization 2004 |
|---|---|
| Country/Territory | United States of America |
| City | Austin |
| Period | 10/10/04 → 12/10/04 |
| Internet address |
Keywords
- graph visualization
- infovis contest
- self organizing map
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