Abstract
We describe ASK-GraphView, a node-link-based graph visualization system that allows clustering and interactive navigation of large graphs, ranging in size up to 16 million edges. The system uses a scalable architecture and a series of increasingly sophisticated clustering algorithms to construct a hierarchy on an arbitrary, weighted undirected input graph. By lowering the interactivity requirements we can scale to substantially bigger graphs. The user is allowed to navigate this hierarchy in a top down manner by interactively expanding individual clusters. ASK-GraphView also provides facilities for filtering and coloring, annotation and cluster labeling.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 669-676 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Visualization and Computer Graphics |
| Volume | 12 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 1 2006 |
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All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design
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ASK-GraphView : A large scale graph visualization system. / Abello Monedero, James; Van Ham, Frank; Krishnan, Neeraj.
In: IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 5, 01.09.2006, p. 669-676.Research output: Contribution to journal › Article
TY - JOUR
T1 - ASK-GraphView
T2 - A large scale graph visualization system
AU - Abello Monedero, James
AU - Van Ham, Frank
AU - Krishnan, Neeraj
PY - 2006/9/1
Y1 - 2006/9/1
N2 - We describe ASK-GraphView, a node-link-based graph visualization system that allows clustering and interactive navigation of large graphs, ranging in size up to 16 million edges. The system uses a scalable architecture and a series of increasingly sophisticated clustering algorithms to construct a hierarchy on an arbitrary, weighted undirected input graph. By lowering the interactivity requirements we can scale to substantially bigger graphs. The user is allowed to navigate this hierarchy in a top down manner by interactively expanding individual clusters. ASK-GraphView also provides facilities for filtering and coloring, annotation and cluster labeling.
AB - We describe ASK-GraphView, a node-link-based graph visualization system that allows clustering and interactive navigation of large graphs, ranging in size up to 16 million edges. The system uses a scalable architecture and a series of increasingly sophisticated clustering algorithms to construct a hierarchy on an arbitrary, weighted undirected input graph. By lowering the interactivity requirements we can scale to substantially bigger graphs. The user is allowed to navigate this hierarchy in a top down manner by interactively expanding individual clusters. ASK-GraphView also provides facilities for filtering and coloring, annotation and cluster labeling.
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UR - http://www.scopus.com/inward/citedby.url?scp=33845621411&partnerID=8YFLogxK
U2 - 10.1109/TVCG.2006.120
DO - 10.1109/TVCG.2006.120
M3 - Article
C2 - 17080786
AN - SCOPUS:33845621411
VL - 12
SP - 669
EP - 676
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
SN - 1077-2626
IS - 5
ER -