C

TreeSubstructures

Detects SubstructureItems that represent isolated trees in the specified graph.
Inheritance Hierarchy

Remarks

The root of a tree is the only node which may have non-tree edges. Furthermore, a tree only consists of elements with the same nodeTypes.

The edgeDirectedness is considered as follows: A substructure is only identified as such if all edges are either undirected or consistently directed with respect to the specified directedness.

  • A directedness value of 1 indicates that the edge is considered to be directed from source to target.
  • A directedness value of -1 indicates that the edge is considered to be directed from target to source.
  • A directedness value of 0 indicates that the edge is considered to be undirected.

Examples

Finding the trees in a graph
// prepare the tree detection algorithm
const algorithm = new TreeSubstructures()
// run the algorithm
const result = algorithm.run(graph)

// highlight the trees
for (const tree of result.trees) {
  for (const node of tree.nodes) {
    graph.setStyle(node, highlightNodeStyle)
  }
  for (const edge of tree.edges) {
    graph.setStyle(edge, highlightEdgeStyle)
  }
}
Finding only the trees in a graph whose nodes are of the same type
// prepare the tree detection algorithm
const algorithm = new TreeSubstructures({
  // only nodes with the same tags can be a tree
  nodeTypes: (node: INode): any => node.tag,
})
// run the algorithm
const result = algorithm.run(graph)

// highlight the trees
for (const tree of result.trees) {
  for (const node of tree.nodes) {
    graph.setStyle(node, highlightNodeStyle)
  }
  for (const edge of tree.edges) {
    graph.setStyle(edge, highlightEdgeStyle)
  }
}

See Also

Developer's Guide

Members

No filters for this type

Constructors

Parameters

Properties

Gets or sets a mapping that stores the directedness of the edges.
If a value is provided here, the algorithm only considers a substructure if all edges are either undirected or consistently directed with respect to the specified directedness.
  • the edge's directedness is greater than 0.0 and the edge is incoming (i.e. n is the edge's target),
  • the edge's directedness is smaller than 0.0 and the edge is outgoing (i.e. n is the edge's source),
  • or the edge's directedness is 0.0 (i.e. the edge is considered to be undirected).
conversionfinal
Gets or sets the minimum size of a tree.

Trees with fewer nodes are ignored.

Default is 3.

The smallest minimumSize value that could be considered is 3.
final
Gets or sets a mapping which maps the type of each node.

An arbitrary object. Nodes returning equal objects are considered to be of the same type.

If none is provided, all nodes are considered as equal.

A tree only consists of elements with the same nodeTypes, i.e., nodes associated with equal objects. If no nodeTypes is specified, all nodes are considered to be of the same type.
conversionfinal
Gets or sets the collection of edges which define a subset of the graph for the algorithms to work on.

If nothing is set, all edges of the graph will be processed.

If only the excludes are set all edges in the graph except those provided in the excludes are processed.

Note that edges which start or end at nodes which are not in the subgraphNodes are automatically not considered by the algorithm.

ItemCollection<T> instances may be shared among algorithm instances and will be (re-)evaluated upon (re-)execution of the algorithm.

The edges provided here must be part of the graph which is passed to the run method.
conversionfinal

Examples

Finding the trees of a subset of the graph
// prepare the tree detection algorithm
const algorithm = new TreeSubstructures({
  // Ignore edges without target arrow heads
  subgraphEdges: {
    excludes: (edge: IEdge): boolean =>
      edge.style instanceof PolylineEdgeStyle &&
      edge.style.targetArrow instanceof Arrow &&
      edge.style.targetArrow.type === ArrowType.NONE,
  },
})
// run the algorithm
const result = algorithm.run(graph)

// highlight the trees
for (const tree of result.trees) {
  for (const node of tree.nodes) {
    graph.setStyle(node, highlightNodeStyle)
  }
  for (const edge of tree.edges) {
    graph.setStyle(edge, highlightEdgeStyle)
  }
}
Gets or sets the collection of nodes which define a subset of the graph for the algorithms to work on.

If nothing is set, all nodes of the graph will be processed.

If only the excludes are set, all nodes in the graph except those provided in the excludes are processed.

ItemCollection<T> instances may be shared among algorithm instances and will be (re-)evaluated upon (re-)execution of the algorithm.

The nodes provided here must be part of the graph which is passed to the run method.
conversionfinal

Examples

Finding the trees of a subset of the graph
// prepare the tree detection algorithm
const algorithm = new TreeSubstructures({
  subgraphNodes: {
    // only consider elliptical nodes in the graph
    includes: (node: INode): boolean =>
      node.style instanceof ShapeNodeStyle &&
      node.style.shape === ShapeNodeShape.ELLIPSE,
    // but ignore the first node, regardless of its shape
    excludes: graph.nodes.first()!,
  },
})
// run the algorithm
const result = algorithm.run(graph)

// highlight the trees
for (const tree of result.trees) {
  for (const node of tree.nodes) {
    graph.setStyle(node, highlightNodeStyle)
  }
  for (const edge of tree.edges) {
    graph.setStyle(edge, highlightEdgeStyle)
  }
}

Methods

Returns a list of SubstructureItems that represent isolated trees in the specified graph.

The root of a tree is the only node which may have non-tree edges. Furthermore, a tree only consists of elements with the same nodeTypes.

The edgeDirectedness is considered as follows: A substructure is only identified as such if all edges are either undirected or consistently directed with respect to the specified directedness.

  • A directedness value of 1 indicates that the edge is considered to be directed from source to target.
  • A directedness value of -1 indicates that the edge is considered to be directed from target to source.
  • A directedness value of 0 indicates that the edge is considered to be undirected.
The smallest minimumSize value that could be considered is 3.
A chain or star structure is also considered to be a tree.
If no edgeDirectedness is specified, all edges are treated as undirected. Furthermore, if no nodeTypes are specified, all nodes are considered to be of the same type.
The result obtained from this algorithm is a snapshot which is no longer valid once the graph has changed, e.g. by adding or removing nodes or edges.
final

Parameters

graph: IGraph
The graph to find the substructures in.

Return Value

TreeSubstructuresResult
A list of SubstructureItems that represent the trees.

Throws

Exception ({ name: 'InvalidOperationError' })
If the algorithm can't create a valid result due to an invalid graph structure or wrongly configured properties.

Examples

Finding the trees in a graph
// prepare the tree detection algorithm
const algorithm = new TreeSubstructures()
// run the algorithm
const result = algorithm.run(graph)

// highlight the trees
for (const tree of result.trees) {
  for (const node of tree.nodes) {
    graph.setStyle(node, highlightNodeStyle)
  }
  for (const edge of tree.edges) {
    graph.setStyle(edge, highlightEdgeStyle)
  }
}
Finding only the trees in a graph whose nodes are of the same type
// prepare the tree detection algorithm
const algorithm = new TreeSubstructures({
  // only nodes with the same tags can be a tree
  nodeTypes: (node: INode): any => node.tag,
})
// run the algorithm
const result = algorithm.run(graph)

// highlight the trees
for (const tree of result.trees) {
  for (const node of tree.nodes) {
    graph.setStyle(node, highlightNodeStyle)
  }
  for (const edge of tree.edges) {
    graph.setStyle(edge, highlightEdgeStyle)
  }
}