java.lang.Object
org.jgrapht.traverse.RandomWalkVertexIterator<V,E> 
- Type Parameters:
 V- the graph vertex typeE- the graph edge type
- All Implemented Interfaces:
 Iterator<V>
A random walk iterator.
 
 "Given a graph and a starting point, we select a neighbor of it at random, and move to this
 neighbor; then we select a neighbor of this point at random, and move to it etc. The (random)
 sequence of points selected this way is a random walk on the graph." This very simple definition,
 together with a comprehensive survey can be found at: "Lovász, L. (1993). Random walks on graphs:
 A survey. Combinatorics, Paul erdos is eighty, 2(1), 1-46."
 
 In its default variant the probability of selecting an outgoing edge is one over the (out) degree
 of the vertex. In case the user requests a weighted walk, then the probability of each edge is
 equal to its weight divided by the total weight of all outgoing edges. The walk can also be
 bounded by a maximum number of hops (edges traversed). The iterator returns
 
NoSuchElementException when this bound is reached.- Author:
 - Dimitrios Michail
 
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Constructor Summary
ConstructorsConstructorDescriptionRandomWalkVertexIterator(Graph<V, E> graph, V vertex) Create a new iteratorRandomWalkVertexIterator(Graph<V, E> graph, V vertex, long maxHops) Create a new iteratorCreate a new iterator - 
Method Summary
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface java.util.Iterator
forEachRemaining, remove 
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Constructor Details
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RandomWalkVertexIterator
Create a new iterator- Parameters:
 graph- the graphvertex- the starting vertex
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RandomWalkVertexIterator
Create a new iterator- Parameters:
 graph- the graphvertex- the starting vertexmaxHops- maximum hops to perform during the walk
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RandomWalkVertexIterator
public RandomWalkVertexIterator(Graph<V, E> graph, V vertex, long maxHops, boolean weighted, Random rng) Create a new iterator- Parameters:
 graph- the graphvertex- the starting vertexmaxHops- maximum hops to perform during the walkweighted- whether to perform a weighted random walk (compute probabilities based on the edge weights)rng- the random number generator
 
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Method Details