Property | Value |
---|---|
Identifier: | org.eclipse.elk.graphviz.neato |
Meta Data Provider: | layouter.GraphvizMetaDataProvider |
Spring model layouts. Neato attempts to minimize a global energy function, which is equivalent to statistical multi-dimensional scaling. The solution is achieved using stress majorization, though the older Kamada-Kawai algorithm, using steepest descent, is also available.
Layout algorithms that follow physical analogies by simulating a system of attractive and repulsive forces. The first successful method of this kind was proposed by Eades in 1984.
Name | Description |
---|---|
Self Loops | Edges connecting a node with itself. |
Multi Edges | Multiple edges with the same source and target node. |
Edge Labels | Labels that are associated with edges. |
Option | Default Value |
---|---|
Adapt Port Positions | true |
Concentrate Edges | false |
Debug Mode | false |
Distance Model | NeatoModel.SHORTPATH |
Edge Label Spacing | 2 |
Edge Routing | EdgeRouting.SPLINES |
Epsilon | 0.0001f |
Interactive | false |
Label Angle | -25 |
Label Distance | 1 |
Max. Iterations | 200 |
Node Size Constraints | EnumSet.noneOf(SizeConstraint) |
Node Size Options | EnumSet.of(SizeOptions.DEFAULT_MINIMUM_SIZE) |
Node Spacing | 40 |
Overlap Removal | OverlapMode.PRISM |
Padding | new ElkPadding(10) |
Randomization Seed | 1 |
Separate Connected Components | false |