edu.uci.ics.jung.algorithms.generators.random

Class 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 (with random edge weights) 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()

Method Summary

Modifier and Type	Method and Description
static <V,E> Graph<V,E>	generateMixedRandomGraph(com.google.common.base.Supplier<Graph<V,E>> graphFactory, com.google.common.base.Supplier<V> vertexFactory, com.google.common.base.Supplier<E> edgeFactory, java.util.Map<E,java.lang.Number> edge_weights, int num_vertices, java.util.Set<V> seedVertices) Returns a random mixed-mode graph.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MixedRandomGraphGenerator

public MixedRandomGraphGenerator()

Method Detail

generateMixedRandomGraph

public static <V,E> Graph<V,E> generateMixedRandomGraph(com.google.common.base.Supplier<Graph<V,E>> graphFactory,
                                                        com.google.common.base.Supplier<V> vertexFactory,
                                                        com.google.common.base.Supplier<E> edgeFactory,
                                                        java.util.Map<E,java.lang.Number> edge_weights,
                                                        int num_vertices,
                                                        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.

Type Parameters:

V - the vertex type

E - the edge type

Parameters:

graphFactory - factory for graphs of the appropriate type

vertexFactory - factory for vertices of the appropriate type

edgeFactory - factory for edges of the appropriate type

edge_weights - storage for the edge weights that this generator creates

num_vertices - number of vertices to generate

seedVertices - storage for the seed vertices that this generator creates

Returns:

the generated graph