@Override public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setParallelism(parallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(parallelism); input.run(vertexMetrics); return this; }
@Override public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setParallelism(parallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(parallelism); input.run(vertexMetrics); return this; }
@Override public TriadicCensus<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setParallelism(parallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(parallelism); input.run(vertexMetrics); return this; }
@Override public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setParallelism(parallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(parallelism); input.run(vertexMetrics); return this; }
@Override public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setLittleParallelism(littleParallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(littleParallelism); input.run(vertexMetrics); return this; }
@Override public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setParallelism(parallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(parallelism); input.run(vertexMetrics); return this; }
@Override public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setParallelism(parallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(parallelism); input.run(vertexMetrics); return this; }
@Override public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setParallelism(parallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(parallelism); input.run(vertexMetrics); return this; }
@Override public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setLittleParallelism(littleParallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(littleParallelism); input.run(vertexMetrics); return this; }
@Override public TriadicCensus<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setParallelism(parallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(parallelism); input.run(vertexMetrics); return this; }
@Override public TriadicCensus<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setLittleParallelism(littleParallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(littleParallelism); input.run(vertexMetrics); return this; }
@Override public TriadicCensus<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); triangleCount = new Count<>(); DataSet<TriangleListing.Result<K>> triangles = input .run(new TriangleListing<K, VV, EV>() .setSortTriangleVertices(false) .setParallelism(parallelism)); triangleCount.run(triangles); vertexMetrics = new VertexMetrics<K, VV, EV>() .setParallelism(parallelism); input.run(vertexMetrics); return this; }