- Type Parameters:
V- the graph vertex typeE- the graph edge type
- All Implemented Interfaces:
GraphGenerator<V,E, V>
The generator is described in the paper: A.-L. Barabási and R. Albert. Emergence of scaling in random networks. Science, 286:509-512, 1999.
The generator starts with a complete graph of $m_0$ nodes and grows the network by adding $n - m_0$ additional nodes. The additional nodes are added one by one and each of them is connected to $m$ previously added nodes, where the probability of connecting to a node is proportional to its degree.
Note that the Barabàsi-Albert model is designed for undirected networks. Nevertheless, this generator also works with directed networks where the probabilities are proportional to the sum of incoming and outgoing degrees. For a more general discussion see the paper: M. E. J. Newman. The Structure and Function of Complex Networks. SIAM Rev., 45(2):167--256, 2003.
For a version that generates trees/forests see BarabasiAlbertForestGenerator.
- Author:
- Dimitrios Michail
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Constructor Summary
ConstructorsConstructorDescriptionBarabasiAlbertGraphGenerator(int m0, int m, int n) ConstructorBarabasiAlbertGraphGenerator(int m0, int m, int n, long seed) ConstructorBarabasiAlbertGraphGenerator(int m0, int m, int n, Random rng) Constructor -
Method Summary
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface org.jgrapht.generate.GraphGenerator
generateGraph
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Constructor Details
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BarabasiAlbertGraphGenerator
public BarabasiAlbertGraphGenerator(int m0, int m, int n) Constructor- Parameters:
m0- number of initial nodesm- number of edges of each new node added during the network growthn- final number of nodes- Throws:
IllegalArgumentException- in case of invalid parameters
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BarabasiAlbertGraphGenerator
public BarabasiAlbertGraphGenerator(int m0, int m, int n, long seed) Constructor- Parameters:
m0- number of initial nodesm- number of edges of each new node added during the network growthn- final number of nodesseed- seed for the random number generator- Throws:
IllegalArgumentException- in case of invalid parameters
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BarabasiAlbertGraphGenerator
Constructor- Parameters:
m0- number of initial nodesm- number of edges of each new node added during the network growthn- final number of nodesrng- the random number generator to use- Throws:
IllegalArgumentException- in case of invalid parameters
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Method Details
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generateGraph
Generates an instance.- Specified by:
generateGraphin interfaceGraphGenerator<V,E, V> - Parameters:
target- the target graphresultMap- not used by this generator, can be null
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