nz.ac.waikato.mcennis.rat.graph.algorithm.clustering
Class NormanGirvanEdgeBetweenessClustering

java.lang.Object
  nz.ac.waikato.mcennis.rat.graph.model.ModelShell
      nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.NormanGirvanEdgeBetweenessClustering

All Implemented Interfaces:

java.io.Serializable, Component, Algorithm, Model

public class NormanGirvanEdgeBetweenessClustering
extends ModelShell
implements Algorithm

Class implementing NormanGirvan edge betweeness clustering. This differs from traditional edge betweeness clustering by recalculating edge-betweeness after every edge is removed. Girvan, M. and M. Newman. 2002. "Community structure in social and biological networks." Proceedings of the National Academy of Science. 99(12):7821-6.

See Also:

Serialized Form

Field Summary

Fields inherited from class nz.ac.waikato.mcennis.rat.graph.model.ModelShell

listener

Constructor Summary

NormanGirvanEdgeBetweenessClustering()

Method Summary

protected void	calculateBetweeness(Graph root, Duples<java.lang.Double,Link>[] orderedBetweeness)
void	execute(Graph g) execute the algorithm against the given graph
InputDescriptor[]	getInputType() The input type describes all the different kinds of graph objects that are utilized (and hence required) by this object.
OutputDescriptor[]	getOutputType() The output type describes all the different kinds of graph objects that are created during the execution of this algorithm.
Parameter[]	getParameter() List of all parameters this component accepts.
Parameter	getParameter(java.lang.String param) Returns the specific parameter identified by its key-name.
SettableParameter[]	getSettableParameter() Returns settable (i.e.
SettableParameter	getSettableParameter(java.lang.String param) Return the settable parameter namede by this key-name.
void	init(java.util.Properties map) Parameters to be initialized.
protected void	splitGraph(Graph base, java.lang.String prefix)

Methods inherited from class nz.ac.waikato.mcennis.rat.graph.model.ModelShell

addListener, fireChange

Methods inherited from class java.lang.Object

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

Methods inherited from interface nz.ac.waikato.mcennis.rat.graph.model.Model

addListener

Constructor Detail

NormanGirvanEdgeBetweenessClustering

public NormanGirvanEdgeBetweenessClustering()

Method Detail

execute

public void execute(Graph g)

Description copied from interface: Algorithm

execute the algorithm against the given graph

Specified by:

execute in interface Algorithm

Parameters:

g - graph to be modified

splitGraph

protected void splitGraph(Graph base,
                          java.lang.String prefix)

calculateBetweeness

protected void calculateBetweeness(Graph root,
                                   Duples<java.lang.Double,Link>[] orderedBetweeness)

getInputType

public InputDescriptor[] getInputType()

Description copied from interface: Component

The input type describes all the different kinds of graph objects that are utilized (and hence required) by this object. This result is only guaranteed to be fixed if structural parameters are not modified. This is an empty array if there is no input.

Specified by:

getInputType in interface Component

Returns:

InputDescriptor array for this component

See Also:

InputDescriptor

getOutputType

public OutputDescriptor[] getOutputType()

Description copied from interface: Component

The output type describes all the different kinds of graph objects that are created during the execution of this algorithm. The result is only guaranteed to be fixed if structural parameters are not modified. This is an empty array if there is no output.

Specified by:

getOutputType in interface Component

Returns:

OutputDescriptor array for this component

See Also:

OutputDescriptor

getParameter

public Parameter[] getParameter()

Description copied from interface: Component

List of all parameters this component accepts. Each parameter also has a distinct key-name used when initializing the object using the init method. If there are no parameters, null is returned.

Specified by:

getParameter in interface Component

Returns:

read-only array of Parameters

getParameter

public Parameter getParameter(java.lang.String param)

Description copied from interface: Component

Returns the specific parameter identified by its key-name. If no parameter is found with this key-name, null is returned.

Specified by:

getParameter in interface Component

Parameters:

param - key-name of the parameter

Returns:

named parameter

getSettableParameter

public SettableParameter[] getSettableParameter()

Description copied from interface: Component

Returns settable (i.e. editable while running) parameters. If none exist, null is returned.

Specified by:

getSettableParameter in interface Component

Returns:

array of settable parameters

getSettableParameter

public SettableParameter getSettableParameter(java.lang.String param)

Description copied from interface: Component

Return the settable parameter namede by this key-name. If this parameter is not found or is not settable, null is returned.

Specified by:

getSettableParameter in interface Component

Parameters:

param - key-name of the parameter

Returns:

named settable parameter

init

public void init(java.util.Properties map)

Parameters to be initialized. Subclasses should override if they provide any additional parameters or require additional inputs.

1. 'name' - Name of this instance of the algorithm. Default is ''.
2. 'relation' - type (relation) of link to calculate over. Default 'Knows'.
3. 'actorType' - type (mode) of actor to calculate over. Deafult 'User'.
4. 'normalize' - boolean for whether or not to normalize prestige vectors. Default 'false'.

Input 0 - Link
NOTE - subclasses define the ouput - see subclasses for output information

Specified by:

init in interface Component

Parameters:

map - parameters to be loaded - may be null.