nct.networkblast
Class ThresholdRandomizer

java.lang.Object
  nct.graph.util.DegreePreservingRandomizer<java.lang.String,java.lang.Double>
      nct.networkblast.ThresholdRandomizer

All Implemented Interfaces:

GraphRandomizer<java.lang.String,java.lang.Double>

public class ThresholdRandomizer
extends DegreePreservingRandomizer<java.lang.String,java.lang.Double>

Field Summary

protected double

threshold

Fields inherited from class nct.graph.util.DegreePreservingRandomizer

ignoreWeights, rand

Constructor Summary

ThresholdRandomizer(java.util.Random r, double thresholdPercentage)

Method Summary

boolean

weightsSimilar(java.lang.Double A, java.lang.Double B) Checks to see if the given weights are "similar".

Methods inherited from class nct.graph.util.DegreePreservingRandomizer

randomize

Methods inherited from class java.lang.Object

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

Field Detail

threshold

protected double threshold

Constructor Detail

ThresholdRandomizer

public ThresholdRandomizer(java.util.Random r,
                           double thresholdPercentage)

Method Detail

weightsSimilar

public boolean weightsSimilar(java.lang.Double A,
                              java.lang.Double B)

Description copied from class: DegreePreservingRandomizer

Checks to see if the given weights are "similar". The default (this) implementation treats weights as similar if they are equal. To get different behavior simply extend this class and override this method.

Overrides:

weightsSimilar in class DegreePreservingRandomizer<java.lang.String,java.lang.Double>

Parameters:

A - Weight a to be compared.

B - Weight b to be compared.

Returns:

true if if the weights are "similar", false otherwise.