edu.uci.ics.jung.algorithms.importance

Class RelativeAuthorityRanker<V,E>

java.lang.Object

edu.uci.ics.jung.algorithms.util.IterativeProcess

edu.uci.ics.jung.algorithms.importance.AbstractRanker<V,E>

edu.uci.ics.jung.algorithms.importance.RelativeAuthorityRanker<V,E>

All Implemented Interfaces:

IterativeContext

Direct Known Subclasses:

KStepMarkov

public abstract class RelativeAuthorityRanker<V,E>
extends AbstractRanker<V,E>

This class provides basic infrastructure for relative authority algorithms that compute the importance of nodes relative to one or more root nodes. The services provided are:

• The set of root nodes (priors) is stored and maintained
• Getters and setters for the prior rank score are provided

Constructor Summary

Constructors

Constructor and Description
RelativeAuthorityRanker()

Method Summary

Modifier and Type	Method and Description
void	setPriorRankScore(V v, double value) Allows the user to specify a value to set for the prior rank score

Methods inherited from class edu.uci.ics.jung.algorithms.importance.AbstractRanker

getEdgeRankScore, getEdgeRankScore, getEdgeRankScores, getEdgeRankScores, getEdgeWeights, getRankings, getRankScoreKey, getRankScores, getVertexRankScore, getVertexRankScore, getVertexRankScores, getVertexRankScores, isRankingEdges, isRankingNodes, printRankings, reset, setEdgeWeights, setNormalizeRankings, setRemoveRankScoresOnFinalize

Methods inherited from class edu.uci.ics.jung.algorithms.util.IterativeProcess

done, evaluate, getDesiredPrecision, getIterations, getMaximumIterations, getPrecision, hasConverged, relativePrecision, setDesiredPrecision, setMaximumIterations, setPrecision, step

Methods inherited from class java.lang.Object

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

Constructor Detail

RelativeAuthorityRanker

public RelativeAuthorityRanker()

Method Detail

setPriorRankScore

public void setPriorRankScore(V v,
                              double value)

Allows the user to specify a value to set for the prior rank score

Parameters:

v - the root node (prior)

value - the score to set to