Object

ml.sparkling.graph.operators.measures.vertex.eigenvector

EigenvectorCentrality

Related Doc: package eigenvector

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object EigenvectorCentrality extends VertexMeasure[Double]

Created by Roman Bartusiak (roman.bartusiak@pwr.edu.pl http://riomus.github.io).

Linear Supertypes
VertexMeasure[Double], AnyRef, Any
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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def compute[VD, ED](graph: Graph[VD, ED], vertexMeasureConfiguration: VertexMeasureConfiguration[VD, ED])(implicit arg0: ClassTag[VD], arg1: ClassTag[ED], num: Numeric[ED]): Graph[Double, ED]

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    Computes Eigenvector Centrality for each vertex in graph

    Computes Eigenvector Centrality for each vertex in graph

    VD

    - vertex data type

    ED

    - edge data type

    graph

    - computation graph

    vertexMeasureConfiguration

    - configuration of computation

    num

    - numeric for @ED

    returns

    graph where each vertex is associated with its eigenvector

    Definition Classes
    EigenvectorCentrality → VertexMeasure

  7. def compute[VD, ED](graph: Graph[VD, ED])(implicit arg0: ClassTag[VD], arg1: ClassTag[ED], num: Numeric[ED]): Graph[Double, ED]

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    VertexMeasure

  8. def computeEigenvector[VD, ED](graph: Graph[VD, ED], vertexMeasureConfiguration: VertexMeasureConfiguration[VD, ED], continuePredicate: ContinuePredicate = ...)(implicit arg0: ClassTag[VD], arg1: ClassTag[ED], num: Numeric[ED]): Graph[Double, ED]

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    Generic Eigenvector Centrality computation method, should be used for extensions, computations are done until @continuePredicate gives true

    Generic Eigenvector Centrality computation method, should be used for extensions, computations are done until @continuePredicate gives true

    VD

    - vertex data type

    ED

    - edge data type

    graph

    - computation graph

    vertexMeasureConfiguration

    - configuration of computation

    continuePredicate

    - convergence predicate

    num

    - numeric for @ED

    returns

    graph where each vertex is associated with its eigenvector

  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. def toString(): String

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  20. final def wait(): Unit

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  21. final def wait(arg0: Long, arg1: Int): Unit

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  22. final def wait(arg0: Long): Unit

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Inherited from VertexMeasure[Double]

Inherited from AnyRef

Inherited from Any

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