edu.uci.ics.jung.algorithms.scoring

Class DistanceCentralityScorer<V,E>

java.lang.Object

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

All Implemented Interfaces:

VertexScorer<V,java.lang.Double>

Direct Known Subclasses:

BarycenterScorer, ClosenessCentrality

public class DistanceCentralityScorer<V,E>
extends java.lang.Object
implements VertexScorer<V,java.lang.Double>

Assigns scores to vertices based on their distances to each other vertex in the graph. This class optionally normalizes its results based on the value of its 'averaging' constructor parameter. If it is true, then the value returned for vertex v is 1 / (_average_ distance from v to all other vertices); this is sometimes called closeness centrality. If it is false, then the value returned is 1 / (_total_ distance from v to all other vertices); this is sometimes referred to as barycenter centrality. (If the average/total distance is 0, the value returned is Double.POSITIVE_INFINITY.)

See Also:

BarycenterScorer, ClosenessCentrality

Constructor Summary

Constructors

Constructor and Description
DistanceCentralityScorer(Hypergraph<V,E> graph, boolean averaging) Equivalent to this(graph, averaging, true, true).
DistanceCentralityScorer(Hypergraph<V,E> graph, boolean averaging, boolean ignore_missing, boolean ignore_self_distances) Creates an instance with the specified graph and averaging behavior whose vertex distances are calculated on the unweighted graph.
DistanceCentralityScorer(Hypergraph<V,E> graph, Distance<V> distance, boolean averaging) Equivalent to this(graph, distance, averaging, true, true).
DistanceCentralityScorer(Hypergraph<V,E> graph, Distance<V> distance, boolean averaging, boolean ignore_missing, boolean ignore_self_distances) Creates an instance with the specified graph, distance metric, and averaging behavior.
DistanceCentralityScorer(Hypergraph<V,E> graph, com.google.common.base.Function<E,? extends java.lang.Number> edge_weights, boolean averaging) Equivalent to this(graph, edge_weights, averaging, true, true).
DistanceCentralityScorer(Hypergraph<V,E> graph, com.google.common.base.Function<E,? extends java.lang.Number> edge_weights, boolean averaging, boolean ignore_missing, boolean ignore_self_distances) Creates an instance with the specified graph and averaging behavior whose vertex distances are calculated based on the specified edge weights.

Method Summary

Modifier and Type	Method and Description
java.lang.Double	getVertexScore(V v) Calculates the score for the specified vertex.

Methods inherited from class java.lang.Object

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

Constructor Detail

DistanceCentralityScorer

public DistanceCentralityScorer(Hypergraph<V,E> graph,
                                Distance<V> distance,
                                boolean averaging,
                                boolean ignore_missing,
                                boolean ignore_self_distances)

Creates an instance with the specified graph, distance metric, and averaging behavior.

Parameters:

graph - The graph on which the vertex scores are to be calculated.

distance - The metric to use for specifying the distance between pairs of vertices.

averaging - Specifies whether the values returned is the sum of all v-distances or the mean v-distance.

ignore_missing - Specifies whether scores for missing distances are to ignore missing distances or be set to null.

ignore_self_distances - Specifies whether distances from a vertex to itself should be included in its score.

DistanceCentralityScorer

public DistanceCentralityScorer(Hypergraph<V,E> graph,
                                Distance<V> distance,
                                boolean averaging)

Equivalent to this(graph, distance, averaging, true, true).

Parameters:

graph - The graph on which the vertex scores are to be calculated.

distance - The metric to use for specifying the distance between pairs of vertices.

averaging - Specifies whether the values returned is the sum of all v-distances or the mean v-distance.

DistanceCentralityScorer

public DistanceCentralityScorer(Hypergraph<V,E> graph,
                                com.google.common.base.Function<E,? extends java.lang.Number> edge_weights,
                                boolean averaging,
                                boolean ignore_missing,
                                boolean ignore_self_distances)

Creates an instance with the specified graph and averaging behavior whose vertex distances are calculated based on the specified edge weights.

Parameters:

graph - The graph on which the vertex scores are to be calculated.

edge_weights - The edge weights to use for specifying the distance between pairs of vertices.

averaging - Specifies whether the values returned is the sum of all v-distances or the mean v-distance.

ignore_missing - Specifies whether scores for missing distances are to ignore missing distances or be set to null.

ignore_self_distances - Specifies whether distances from a vertex to itself should be included in its score.

DistanceCentralityScorer

public DistanceCentralityScorer(Hypergraph<V,E> graph,
                                com.google.common.base.Function<E,? extends java.lang.Number> edge_weights,
                                boolean averaging)

Equivalent to this(graph, edge_weights, averaging, true, true).

Parameters:

graph - The graph on which the vertex scores are to be calculated.

edge_weights - The edge weights to use for specifying the distance between pairs of vertices.

averaging - Specifies whether the values returned is the sum of all v-distances or the mean v-distance.

DistanceCentralityScorer

public DistanceCentralityScorer(Hypergraph<V,E> graph,
                                boolean averaging,
                                boolean ignore_missing,
                                boolean ignore_self_distances)

Creates an instance with the specified graph and averaging behavior whose vertex distances are calculated on the unweighted graph.

Parameters:

graph - The graph on which the vertex scores are to be calculated.

averaging - Specifies whether the values returned is the sum of all v-distances or the mean v-distance.

ignore_missing - Specifies whether scores for missing distances are to ignore missing distances or be set to null.

ignore_self_distances - Specifies whether distances from a vertex to itself should be included in its score.

DistanceCentralityScorer

public DistanceCentralityScorer(Hypergraph<V,E> graph,
                                boolean averaging)

Equivalent to this(graph, averaging, true, true).

Parameters:

graph - The graph on which the vertex scores are to be calculated.

averaging - Specifies whether the values returned is the sum of all v-distances or the mean v-distance.

Method Detail

getVertexScore

public java.lang.Double getVertexScore(V v)

Calculates the score for the specified vertex. Returns null if there are missing distances and such are not ignored by this instance.

Specified by:

getVertexScore in interface VertexScorer<V,java.lang.Double>

Parameters:

v - the vertex whose score is requested

Returns:

the algorithm's score for this vertex