Remarks
- A direct neighbor of a node is directly connected by an edge to that node.
- An indirect neighbor of a node is directly connected to another direct or indirect neighbor of a node.
Examples
// set up the algorithm to find both predecessors and successors
const algorithm = new Neighborhood({
startNodes: [startNode],
maximumDistance: 2,
traversalDirection: TraversalDirection.BOTH,
})
// run the algorithm
const result = algorithm.run(graph)
// highlight the neighbors
for (const node of result.neighbors) {
graph.setStyle(node, highlightNodeStyle)
}See Also
Developer's Guide
Members
Constructors
Properties
Gets or sets the maximum distance from the startNodes to consider.
This is the maximum number of edges that will be followed by the search. A value of 1 will only include direct neighbors of startNodes, while higher values will include indirect neighbors as well. A value of 0 will not limit the maximum search distance.
Default is 0.
Gets or sets a collection of nodes from which to start the search.
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.
Examples
// search for the predecessors up to depth 3
const algorithm = new Neighborhood({
// 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,
},
maximumDistance: 3,
traversalDirection: TraversalDirection.PREDECESSOR,
})
// run the algorithm
const result = algorithm.run(graph)
// highlight the neighbors
for (const node of result.neighbors) {
graph.setStyle(node, highlightNodeStyle)
}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.
Examples
// search for the direct successors
const algorithm = new Neighborhood({
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()!,
},
traversalDirection: TraversalDirection.SUCCESSOR,
maximumDistance: 1,
})
// run the algorithm
const result = algorithm.run(graph)
// highlight the neighbors
for (const node of result.neighbors) {
graph.setStyle(node, highlightNodeStyle)
}Gets or sets a value indicating whether to follow only incoming, only outgoing, BOTH only incoming and only outgoing, or any edges independent of their direction.
Methods
Finds neighbors of a set of nodes.
Parameters
- graph: IGraph
- The input graph to run the algorithm on.
Return Value
Throws
- Exception ({ name: 'InvalidOperationError' })
- If the algorithm can't create a valid result due to an invalid graph structure or wrongly configured properties.
Examples
// set up the algorithm to find both predecessors and successors
const algorithm = new Neighborhood({
startNodes: [startNode],
maximumDistance: 2,
traversalDirection: TraversalDirection.BOTH,
})
// run the algorithm
const result = algorithm.run(graph)
// highlight the neighbors
for (const node of result.neighbors) {
graph.setStyle(node, highlightNodeStyle)
}