Drawing graphs nicely using simulated annealing
ACM Transactions on Graphics (TOG)
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Genetic Algorithms
Removing edge-node intersections in drawings of graphs
Information Processing Letters
Constraints
Graph Layout Adjustment Strategies
GD '95 Proceedings of the Symposium on Graph Drawing
A framework of filtering, clustering and dynamic layout graphs for visualization
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Using spring algorithms to remove node overlapping
APVis '05 proceedings of the 2005 Asia-Pacific symposium on Information visualisation - Volume 45
Preserving the mental map in interactive graph interfaces
Proceedings of the working conference on Advanced visual interfaces
EnjoyPhoto: a vertical image search engine for enjoying high-quality photos
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Visual islands: intuitive browsing of visual search results
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Drawing graphs with nonuniform nodes using potential fields
Journal of Visual Languages and Computing
Wikipedia world map: method and application of map-like wiki visualization
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Visualizing large-scale human collaboration in Wikipedia
Future Generation Computer Systems
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Graphs where each node includes an amount of text are often used in applications. A typical example of such graphs is UML diagrams used in CASE tools. To make text information in each node readable in displaying such graphs, it is required there should be no overlapping nodes. This paper proposes the Force-Transfer algorithm to give a new efficient approach to removing overlapping nodes. The proposed approach employs a heuristic method to approximate the global optimal adjustment with the local minimal movement. Scanning from the seed node, the approach orthogonally transfers the minimum forces to only those nodes recursively overlapping with the node from where the forces start. We compare the Force-Transfer with the Force-Scan algorithm by mathematical proofs and experiments. The Force-Transfer approach can generate better results.