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

Class AverageClusteringCoefficient<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV>

java.lang.Object

org.apache.flink.graph.AbstractGraphAnalytic<K,VV,EV,AverageClusteringCoefficient.Result>

org.apache.flink.graph.library.clustering.directed.AverageClusteringCoefficient<K,VV,EV>

Type Parameters:

K - graph ID type

VV - vertex value type

EV - edge value type

All Implemented Interfaces:

GraphAnalytic<K,VV,EV,AverageClusteringCoefficient.Result>

public class AverageClusteringCoefficient<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV>
extends AbstractGraphAnalytic<K,VV,EV,AverageClusteringCoefficient.Result>

The average clustering coefficient measures the mean connectedness of a graph. Scores range from 0.0 (no triangles) to 1.0 (complete graph).

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AverageClusteringCoefficient.Result Wraps global clustering coefficient metrics.

Field Summary

Fields inherited from class org.apache.flink.graph.AbstractGraphAnalytic

env

Constructor Summary

Constructors

Constructor and Description
AverageClusteringCoefficient()

Method Summary

Methods

Modifier and Type	Method and Description
AverageClusteringCoefficient.Result	getResult() This method must be called after the program has executed: 1) "run" analytics and algorithms 2) call ExecutionEnvironment.execute() 3) get analytic results
AverageClusteringCoefficient<K,VV,EV>	run(Graph<K,VV,EV> input) All GraphAnalytic processing must be terminated by an OutputFormat.
AverageClusteringCoefficient<K,VV,EV>	setLittleParallelism(int littleParallelism) Override the parallelism of operators processing small amounts of data.

Methods inherited from class org.apache.flink.graph.AbstractGraphAnalytic

execute, execute

Methods inherited from class java.lang.Object

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

Constructor Detail

AverageClusteringCoefficient

public AverageClusteringCoefficient()

Method Detail

setLittleParallelism

public AverageClusteringCoefficient<K,VV,EV> setLittleParallelism(int littleParallelism)

Override the parallelism of operators processing small amounts of data.

Parameters:

littleParallelism - operator parallelism

Returns:

this

run

public AverageClusteringCoefficient<K,VV,EV> run(Graph<K,VV,EV> input)
                                                                                                         throws Exception

Description copied from interface: GraphAnalytic

All GraphAnalytic processing must be terminated by an OutputFormat. Rather than obtained via accumulators rather than returned by a DataSet.

Specified by:

run in interface GraphAnalytic<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV,AverageClusteringCoefficient.Result>

Overrides:

run in class AbstractGraphAnalytic<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV,AverageClusteringCoefficient.Result>

Parameters:

input - input graph

Returns:

this

Throws:

Exception

getResult

public AverageClusteringCoefficient.Result getResult()

Description copied from interface: GraphAnalytic

This method must be called after the program has executed: 1) "run" analytics and algorithms 2) call ExecutionEnvironment.execute() 3) get analytic results

Returns:

the result