Package org.apache.spark.graphx.lib
Class TriangleCount
Object
org.apache.spark.graphx.lib.TriangleCount
Compute the number of triangles passing through each vertex.
The algorithm is relatively straightforward and can be computed in three steps:
- Compute the set of neighbors for each vertex
- For each edge compute the intersection of the sets and send the count to both vertices.
- Compute the sum at each vertex and divide by two since each triangle is counted twice.
There are two implementations. The default TriangleCount.run
implementation first removes
self cycles and canonicalizes the graph to ensure that the following conditions hold:
- There are no self edges
- All edges are oriented (src is greater than dst)
- There are no duplicate edges
TriangleCount.runPreCanonicalized
should be used instead.
val canonicalGraph = graph.mapEdges(e => 1).removeSelfEdges().canonicalizeEdges()
val counts = TriangleCount.runPreCanonicalized(canonicalGraph).vertices
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionrun
(Graph<VD, ED> graph, scala.reflect.ClassTag<VD> evidence$1, scala.reflect.ClassTag<ED> evidence$2) runPreCanonicalized
(Graph<VD, ED> graph, scala.reflect.ClassTag<VD> evidence$3, scala.reflect.ClassTag<ED> evidence$4)
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Constructor Details
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TriangleCount
public TriangleCount()
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Method Details
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run
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runPreCanonicalized
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