org.apache.flink.graph.example.utils.CommunityDetectionData Maven / Gradle / Ivy
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package org.apache.flink.graph.example.utils;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.graph.Edge;
import java.util.ArrayList;
import java.util.List;
/**
* Provides the default data set used for the Simple Community Detection example program.
* If no parameters are given to the program, the default edge data set is used.
*/
public class CommunityDetectionData {
// the algorithm is not guaranteed to always converge
public static final Integer MAX_ITERATIONS = 30;
public static final double DELTA = 0.5f;
public static DataSet> getDefaultEdgeDataSet(ExecutionEnvironment env) {
List> edges = new ArrayList>();
edges.add(new Edge(1L, 2L, 1.0));
edges.add(new Edge(1L, 3L, 2.0));
edges.add(new Edge(1L, 4L, 3.0));
edges.add(new Edge(2L, 3L, 4.0));
edges.add(new Edge(2L, 4L, 5.0));
edges.add(new Edge(3L, 5L, 6.0));
edges.add(new Edge(5L, 6L, 7.0));
edges.add(new Edge(5L, 7L, 8.0));
edges.add(new Edge(6L, 7L, 9.0));
edges.add(new Edge(7L, 12L, 10.0));
edges.add(new Edge(8L, 9L, 11.0));
edges.add(new Edge(8L, 10L, 12.0));
edges.add(new Edge(8L, 11L, 13.0));
edges.add(new Edge(9L, 10L, 14.0));
edges.add(new Edge(9L, 11L, 15.0));
edges.add(new Edge(10L, 11L, 16.0));
edges.add(new Edge(10L, 12L, 17.0));
edges.add(new Edge(11L, 12L, 18.0));
return env.fromCollection(edges);
}
private CommunityDetectionData() {}
}
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