- Type Parameters:
V
- the graph vertex typeE
- the graph edge type
- All Implemented Interfaces:
GraphGenerator<V,
E, V>
In the $G(n, M)$ model, a graph is chosen uniformly at random from the collection of all graphs which have $n$ nodes and $M$ edges. For example, in the $G(3, 2)$ model, each of the three possible graphs on three vertices and two edges are included with probability $\frac{1}{3}$.
The implementation creates the vertices and then randomly chooses an edge and tries to add it. If the add fails for any reason (an edge already exists and multiple (parallel) edges are not allowed) it will just choose another and try again. The performance therefore varies significantly based on the probability of successfully constructing an acceptable edge.
The implementation tries to guess the number of allowed edges based on the following. If
self-loops or multiple edges are allowed and requested, the maximum number of edges is
Integer.MAX_VALUE
. Otherwise the maximum for undirected graphs with n vertices is
$\frac{n(n-1)}{2}$ while for directed $n(n-1)$.
For the $G(n, p)$ model please see GnpRandomGraphGenerator
.
- Author:
- Assaf Lehr, Dimitrios Michail
- See Also:
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Constructor Summary
ConstructorDescriptionGnmRandomGraphGenerator
(int n, int m) Create a new $G(n, M)$ random graph generator.GnmRandomGraphGenerator
(int n, int m, long seed) Create a new $G(n, M)$ random graph generator.GnmRandomGraphGenerator
(int n, int m, long seed, boolean loops, boolean multipleEdges) Create a new $G(n, M)$ random graph generatorGnmRandomGraphGenerator
(int n, int m, Random rng, boolean loops, boolean multipleEdges) Create a new $G(n, M)$ random graph generator -
Method Summary
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface org.jgrapht.generate.GraphGenerator
generateGraph
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Constructor Details
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GnmRandomGraphGenerator
public GnmRandomGraphGenerator(int n, int m) Create a new $G(n, M)$ random graph generator. The generator does not create self-loops or multiple (parallel) edges between the same two vertices.- Parameters:
n
- the number of nodesm
- the number of edges
-
GnmRandomGraphGenerator
public GnmRandomGraphGenerator(int n, int m, long seed) Create a new $G(n, M)$ random graph generator. The generator does not create self-loops or multiple (parallel) edges between the same two vertices.- Parameters:
n
- the number of nodesm
- the number of edgesseed
- seed for the random number generator
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GnmRandomGraphGenerator
public GnmRandomGraphGenerator(int n, int m, long seed, boolean loops, boolean multipleEdges) Create a new $G(n, M)$ random graph generator- Parameters:
n
- the number of nodesm
- the number of edgesseed
- seed for the random number generatorloops
- whether the generated graph may contain loopsmultipleEdges
- whether the generated graph many contain multiple (parallel) edges between the same two vertices
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GnmRandomGraphGenerator
Create a new $G(n, M)$ random graph generator- Parameters:
n
- the number of nodesm
- the number of edgesrng
- the random number generatorloops
- whether the generated graph may contain loopsmultipleEdges
- whether the generated graph many contain multiple (parallel) edges between the same two vertices
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Method Details
-
generateGraph
Generates a random graph based on the $G(n, M)$ model- Specified by:
generateGraph
in interfaceGraphGenerator<V,
E, V> - Parameters:
target
- the target graphresultMap
- not used by this generator, can be null- Throws:
IllegalArgumentException
- if the number of edges, passed in the constructor, cannot be created on a graph of the concrete type with the specified number of verticesIllegalArgumentException
- if the graph does not support a requested feature such as self-loops or multiple (parallel) edges
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