Package org.apache.flink.graph.library.clustering.directed

Class Summary

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>	A result for the directed 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.
TriangleListing<K extends Comparable<K> & CopyableValue<K>,VV,EV>	Generates a listing of distinct triangles from the input graph.
TriangleListing.Result<T>	A result for the directed Triangle Listing algorithm.