public class EigenvectorCentralityRanker extends PageRankRanker
PageRankRanker.SourceNormalizedEdgeValue
AbstractIterativeRanker.UniformIncident, AbstractIterativeRanker.UniformOut
alpha
max_iterations, priors, tolerance, UNIFORM_INCIDENT, UNIFORM_OUT
edge_value, graph, UNIT_VALUE
Constructor and Description |
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EigenvectorCentralityRanker(Graph g,
int max_iterations,
double tolerance) |
EigenvectorCentralityRanker(Graph g,
NumberEdgeValue edge_value,
int max_iterations,
double tolerance) |
EigenvectorCentralityRanker(Graph g,
NumberVertexValue priors,
NumberEdgeValue edge_value,
int max_iterations,
double tolerance) |
advance, initialize
advance, evaluate, evaluate
getNormalizedInitialValues, getNormalizedInitialValues, getToleranceValue, hasConverged
normalizeValues, normalizeValues
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)