MixedRandomGraphGenerator

java.lang.Object
- edu.uci.ics.jung.algorithms.generators.random.MixedRandomGraphGenerator

```
public class MixedRandomGraphGenerator
extends java.lang.Object
```
Generates a mixed-mode random graph based on the output of BarabasiAlbertGenerator. Primarily intended for providing a heterogeneous sample graph for visualization testing, etc.

Constructor Summary

Constructors
Constructor and Description

MixedRandomGraphGenerator()

Constructors
Constructor and Description
`MixedRandomGraphGenerator()`

Method Summary

Methods
Modifier and Type	Method and Description
`static <V,E> edu.uci.ics.jung.graph.Graph<V,E>`	`generateMixedRandomGraph(org.apache.commons.collections4.Factory<edu.uci.ics.jung.graph.Graph<V,E>> graphFactory, org.apache.commons.collections4.Factory<V> vertexFactory, org.apache.commons.collections4.Factory<E> edgeFactory, java.util.Map<E,java.lang.Number> edge_weights, int num_vertices, boolean parallel, java.util.Set<V> seedVertices)` Returns a random mixed-mode graph.
`static <V,E> edu.uci.ics.jung.graph.Graph<V,E>`	`generateMixedRandomGraph(org.apache.commons.collections4.Factory<edu.uci.ics.jung.graph.Graph<V,E>> graphFactory, org.apache.commons.collections4.Factory<V> vertexFactory, org.apache.commons.collections4.Factory<E> edgeFactory, java.util.Map<E,java.lang.Number> edge_weight, int num_vertices, java.util.Set<V> seedVertices)` Equivalent to `generateMixedRandomGraph(edge_weight, num_vertices, true)`.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail
- MixedRandomGraphGenerator
```
public MixedRandomGraphGenerator()
```

Method Detail

generateMixedRandomGraph

public static <V,E> edu.uci.ics.jung.graph.Graph<V,E> generateMixedRandomGraph(org.apache.commons.collections4.Factory<edu.uci.ics.jung.graph.Graph<V,E>> graphFactory,
                                                               org.apache.commons.collections4.Factory<V> vertexFactory,
                                                               org.apache.commons.collections4.Factory<E> edgeFactory,
                                                               java.util.Map<E,java.lang.Number> edge_weight,
                                                               int num_vertices,
                                                               java.util.Set<V> seedVertices)

Equivalent to generateMixedRandomGraph(edge_weight, num_vertices, true).

generateMixedRandomGraph

public static <V,E> edu.uci.ics.jung.graph.Graph<V,E> generateMixedRandomGraph(org.apache.commons.collections4.Factory<edu.uci.ics.jung.graph.Graph<V,E>> graphFactory,
                                                               org.apache.commons.collections4.Factory<V> vertexFactory,
                                                               org.apache.commons.collections4.Factory<E> edgeFactory,
                                                               java.util.Map<E,java.lang.Number> edge_weights,
                                                               int num_vertices,
                                                               boolean parallel,
                                                               java.util.Set<V> seedVertices)

Returns a random mixed-mode graph. Starts with a randomly generated Barabasi-Albert (preferential attachment) generator (4 initial vertices, 3 edges added at each step, and num_vertices - 4 evolution steps). Then takes the resultant graph, replaces random undirected edges with directed edges, and assigns random weights to each edge.

Class MixedRandomGraphGenerator

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

MixedRandomGraphGenerator

Method Detail

generateMixedRandomGraph

generateMixedRandomGraph