Class  Description 

AverageClusteringCoefficient<K extends Comparable<K> & CopyableValue<K>,VV,EV> 
The average clustering coefficient measures the mean connectedness of a
graph.

AverageClusteringCoefficient.Result 
Wraps global clustering coefficient metrics.

GlobalClusteringCoefficient<K extends Comparable<K> & CopyableValue<K>,VV,EV> 
The global clustering coefficient measures the connectedness of a graph.

GlobalClusteringCoefficient.Result 
Wraps global clustering coefficient metrics.

LocalClusteringCoefficient<K extends Comparable<K> & CopyableValue<K>,VV,EV> 
The local clustering coefficient measures the connectedness of each vertex's
neighborhood.

LocalClusteringCoefficient.Result<T> 
Wraps the vertex type to encapsulate results from the Local Clustering Coefficient algorithm.

TriadicCensus<K extends Comparable<K> & CopyableValue<K>,VV,EV> 
A triad is formed by three connected or unconnected vertices in a graph.

TriadicCensus.Result 
Wraps triadic census metrics.

TriangleCount<K extends Comparable<K> & CopyableValue<K>,VV,EV> 
Count the number of distinct triangles in an undirected graph.

TriangleListing<K extends Comparable<K> & CopyableValue<K>,VV,EV> 
Generates a listing of distinct triangles from the input graph.

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