Class ClosenessCentrality<V,E>

java.lang.Object

edu.uci.ics.jung.algorithms.scoring.DistanceCentralityScorer<V,E>

edu.uci.ics.jung.algorithms.scoring.ClosenessCentrality<V,E>

All Implemented Interfaces:

VertexScorer<V,Double>

public class ClosenessCentrality<V,E>
extends DistanceCentralityScorer<V,E>

Assigns scores to each vertex based on the mean distance to each other vertex.

Field Summary

Fields inherited from class DistanceCentralityScorer

averaging, distance, graph, ignore_missing, ignore_self_distances, output

Constructor Summary

Constructors

Constructor	Description
ClosenessCentrality(Hypergraph<V,E> graph)	Creates an instance which measures distance on the graph without edge weights.
ClosenessCentrality(Hypergraph<V,E> graph, com.google.common.base.Function<E, ? extends Number> edge_weights)	Creates an instance which measures distance using the specified edge weights.
ClosenessCentrality(Hypergraph<V,E> graph, Distance<V> distance)	Creates an instance using the specified vertex/vertex distance metric.

Method Summary

Methods inherited from class DistanceCentralityScorer

getVertexScore

Methods inherited from class Object

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

Constructor Details

ClosenessCentrality

public ClosenessCentrality(Hypergraph<V,E> graph,
 Distance<V> distance)

Creates an instance using the specified vertex/vertex distance metric.

Parameters:

graph - the input

distance - the vertex/vertex distance metric.

ClosenessCentrality

public ClosenessCentrality(Hypergraph<V,E> graph,
 com.google.common.base.Function<E, ? extends Number> edge_weights)

Creates an instance which measures distance using the specified edge weights.

Parameters:

graph - the input graph

edge_weights - the edge weights to be used to determine vertex/vertex distances

ClosenessCentrality

public ClosenessCentrality(Hypergraph<V,E> graph)

Creates an instance which measures distance on the graph without edge weights.

Parameters:

graph - the graph whose vertices' centrality scores will be calculated