Class GnmRandomBipartiteGraphGenerator<V,E>

java.lang.Object
org.jgrapht.generate.GnmRandomBipartiteGraphGenerator<V,E>
Type Parameters:
V - the graph vertex type
E - the graph edge type
All Implemented Interfaces:
GraphGenerator<V,E,V>

public class GnmRandomBipartiteGraphGenerator<V,E> extends Object implements GraphGenerator<V,E,V>
Create a random bipartite graph based on the $G(n, M)$ Erdős–Rényi model. See the Wikipedia article for details and references about Random Graphs and the Erdős–Rényi model . The user provides the sizes $n_1$ and $n_2$ of the two partitions $(n_1+n_2=n)$ and a number $m$ which is the total number of edges to create. The generator supports both directed and undirected graphs.
Author:
Michael Behrisch, Dimitrios Michail
See Also:
  • Constructor Details

    • GnmRandomBipartiteGraphGenerator

      public GnmRandomBipartiteGraphGenerator(int n1, int n2, int m)
      Create a new random bipartite graph generator. The generator uses the $G(n, m)$ model when $n = n1 + n2$ and the bipartite graph has one partition with size $n_1$ and one partition with size $n_2$. In this model a graph is chosen uniformly at random from the collection of bipartite graphs whose partitions have sizes $n_1$ and $n_2$ respectively and $m$ edges.
      Parameters:
      n1 - number of vertices of the first partition
      n2 - number of vertices of the second partition
      m - the number of edges
    • GnmRandomBipartiteGraphGenerator

      public GnmRandomBipartiteGraphGenerator(int n1, int n2, int m, long seed)
      Create a new random bipartite graph generator. The generator uses the $G(n, m)$ model when $n = n1 + n2$ and the bipartite graph has one partition with size $n_1$ and one partition with size $n_2$. In this model a graph is chosen uniformly at random from the collection of bipartite graphs whose partitions have sizes $n_1$ and $n_2$ respectively and m edges.
      Parameters:
      n1 - number of vertices of the first partition
      n2 - number of vertices of the second partition
      m - the number of edges
      seed - seed for the random number generator
    • GnmRandomBipartiteGraphGenerator

      public GnmRandomBipartiteGraphGenerator(int n1, int n2, int m, Random rng)
      Create a new random bipartite graph generator. The generator uses the $G(n, m)$ model when $n = n_1 + n_2$ and the bipartite graph has one partition with size $n_1$ and one partition with size $n_2$. In this model a graph is chosen uniformly at random from the collection of bipartite graphs whose partitions have sizes $n_1$ and $n_2$ respectively and $m$ edges.
      Parameters:
      n1 - number of vertices of the first partition
      n2 - number of vertices of the second partition
      m - the number of edges
      rng - random number generator
  • Method Details

    • generateGraph

      public void generateGraph(Graph<V,E> target, Map<String,V> resultMap)
      Generates a random bipartite graph.
      Specified by:
      generateGraph in interface GraphGenerator<V,E,V>
      Parameters:
      target - the target graph
      resultMap - not used by this generator, can be null
    • getFirstPartition

      public Set<V> getFirstPartition()
      Returns the first partition of vertices in the bipartite graph. This partition is guaranteed to be smaller than or equal in size to the second partition.
      Returns:
      one partition of the bipartite graph
    • getSecondPartition

      public Set<V> getSecondPartition()
      Returns the second partitions of vertices in the bipartite graph. This partition is guaranteed to be larger than or equal in size to the first partition.
      Returns:
      one partition of the bipartite graph