The force-directed paradigm is one of the few generic approaches to drawing graphs. Since force-directed algorithms can be extended easily, they are used frequently. Most of these algorithms are, however, quite slow on large graphs as they compute a quadratic number of forces in each iteration. We speed up this computation by using an approximation based on the well-separated pair decomposition. We perform experiments on a large number of graphs and show that we can strongly reduce the runtime—even on graphs with less then a hundred vertices—without a significant influence on the quality of the drawings (in terms of number of crossings and deviation in edge lengths)
The visualization of of large and complex networks or graphs is an indispensable instrument for gett...
We describe a heuristic method for drawing graphs which uses a multilevel technique combined with a ...
© 2014 IEEE. Clustered graph drawing is widely considered as a good method to overcome the scalabili...
The force-directed paradigm is one of the few generic approaches to drawing graphs. Since force-dire...
The force-directed paradigm is one of the few generic approaches to drawing graphs. Since force-dire...
Force-directed graph drawing algorithms are widely used for drawing general graphs. However, these m...
Force-directed graph drawing algorithms are widely used for drawing general graphs. However, these m...
Force-directed graph drawing algorithms are widely used for drawing general graphs. However, these m...
University of Technology Sydney. Faculty of Engineering and Information Technology.NO FULL TEXT AVAI...
Modern visual analytics tools provide mechanism for users to gain unknown knowledge through effectiv...
Clustered graph drawing is widely considered as a good method to overcome the scalability problem wh...
In the last decade several algorithms that generate straight-line drawings of general large graphs h...
We present a novel hierarchical force-directed method for drawing large graphs. The algorithm produc...
In the last decade several algorithms that generate straight-line drawings of general large graphs h...
AbstractWe present a novel hierarchical force-directed method for drawing large graphs. Given a grap...
The visualization of of large and complex networks or graphs is an indispensable instrument for gett...
We describe a heuristic method for drawing graphs which uses a multilevel technique combined with a ...
© 2014 IEEE. Clustered graph drawing is widely considered as a good method to overcome the scalabili...
The force-directed paradigm is one of the few generic approaches to drawing graphs. Since force-dire...
The force-directed paradigm is one of the few generic approaches to drawing graphs. Since force-dire...
Force-directed graph drawing algorithms are widely used for drawing general graphs. However, these m...
Force-directed graph drawing algorithms are widely used for drawing general graphs. However, these m...
Force-directed graph drawing algorithms are widely used for drawing general graphs. However, these m...
University of Technology Sydney. Faculty of Engineering and Information Technology.NO FULL TEXT AVAI...
Modern visual analytics tools provide mechanism for users to gain unknown knowledge through effectiv...
Clustered graph drawing is widely considered as a good method to overcome the scalability problem wh...
In the last decade several algorithms that generate straight-line drawings of general large graphs h...
We present a novel hierarchical force-directed method for drawing large graphs. The algorithm produc...
In the last decade several algorithms that generate straight-line drawings of general large graphs h...
AbstractWe present a novel hierarchical force-directed method for drawing large graphs. Given a grap...
The visualization of of large and complex networks or graphs is an indispensable instrument for gett...
We describe a heuristic method for drawing graphs which uses a multilevel technique combined with a ...
© 2014 IEEE. Clustered graph drawing is widely considered as a good method to overcome the scalabili...