Package | Description |
---|---|
org.apache.flink.graph.library.clustering.directed | |
org.apache.flink.graph.library.metric | |
org.apache.flink.graph.library.metric.directed |
Modifier and Type | Class and Description |
---|---|
class |
AverageClusteringCoefficient<K extends Comparable<K> & CopyableValue<K>,VV,EV>
The average clustering coefficient measures the mean connectedness of a
graph.
|
class |
GlobalClusteringCoefficient<K extends Comparable<K> & CopyableValue<K>,VV,EV>
The global clustering coefficient measures the connectedness of a graph.
|
class |
TriadicCensus<K extends Comparable<K> & CopyableValue<K>,VV,EV>
A triad is formed by three connected or unconnected vertices in a graph.
|
Modifier and Type | Class and Description |
---|---|
class |
ChecksumHashCode<K,VV,EV>
Convenience method to get the count (number of elements) of a Graph
as well as the checksum (sum over element hashes).
|
Modifier and Type | Class and Description |
---|---|
class |
EdgeMetrics<K extends Comparable<K>,VV,EV>
Compute the following edge metrics in a directed graph:
- number of triangle triplets
- number of rectangle triplets
- maximum number of triangle triplets
- maximum number of rectangle triplets
|
class |
VertexMetrics<K extends Comparable<K>,VV,EV>
Compute the following vertex metrics in a directed graph:
- number of vertices
- number of edges
- number of unidirectional edges
- number of bidirectional edges
- average degree
- number of triplets
- maximum degree
- maximum out degree
- maximum in degree
- maximum number of triplets
|
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