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java.lang.Objectscratch.joshua.ranking.AbstractRanker
scratch.joshua.ranking.AbstractIterativeRanker
scratch.joshua.ranking.SingleValueRanker
scratch.joshua.ranking.PageRankRanker
scratch.joshua.ranking.EigenvectorCentralityRanker
public class EigenvectorCentralityRanker
Nested Class Summary |
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Nested classes/interfaces inherited from class scratch.joshua.ranking.PageRankRanker |
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PageRankRanker.SourceNormalizedEdgeValue |
Nested classes/interfaces inherited from class scratch.joshua.ranking.AbstractIterativeRanker |
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AbstractIterativeRanker.UniformIncident, AbstractIterativeRanker.UniformOut |
Field Summary |
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Fields inherited from class scratch.joshua.ranking.PageRankRanker |
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alpha |
Fields inherited from class scratch.joshua.ranking.AbstractIterativeRanker |
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max_iterations, priors, tolerance, UNIFORM_INCIDENT, UNIFORM_OUT |
Fields inherited from class scratch.joshua.ranking.AbstractRanker |
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edge_value, graph, UNIT_VALUE |
Constructor Summary | |
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EigenvectorCentralityRanker(Graph g,
int max_iterations,
double tolerance)
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EigenvectorCentralityRanker(Graph g,
NumberEdgeValue edge_value,
int max_iterations,
double tolerance)
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EigenvectorCentralityRanker(Graph g,
NumberVertexValue priors,
NumberEdgeValue edge_value,
int max_iterations,
double tolerance)
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Method Summary |
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Methods inherited from class scratch.joshua.ranking.PageRankRanker |
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advance, initialize |
Methods inherited from class scratch.joshua.ranking.SingleValueRanker |
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advance, evaluate, evaluate |
Methods inherited from class scratch.joshua.ranking.AbstractIterativeRanker |
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getNormalizedInitialValues, getNormalizedInitialValues, getToleranceValue, hasConverged |
Methods inherited from class scratch.joshua.ranking.AbstractRanker |
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normalizeValues, normalizeValues |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public EigenvectorCentralityRanker(Graph g, int max_iterations, double tolerance)
public EigenvectorCentralityRanker(Graph g, NumberEdgeValue edge_value, int max_iterations, double tolerance)
public EigenvectorCentralityRanker(Graph g, NumberVertexValue priors, NumberEdgeValue edge_value, int max_iterations, double tolerance)
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