Documentation / Algorithms

The Eccentricity Algorithm

Compute the eccentricity of a connected graph.

In a graph G, if d(u,v) is the shortest length between two nodes u and v (ie the number of edges of the shortest path) let e(u) be the d(u,v) such that v is the farthest of u. Eccentricity of a graph G is a subgraph induced by vertices u with minimum e(u).

Requirements

This algorithm needs that APSP algorithm has been computed before its own computation.

Example

 import java.io.StringReader;
 import java.io.IOException;
  
 import org.graphstream.algorithm.Centroid;
 import org.graphstream.graph.Graph;
 import org.graphstream.graph.implementations.DefaultGraph;
 import org.graphstream.stream.file.FileSourceDGS;
 
 //                     +--- E
 // A --- B --- C -- D -|--- F
 //                     +--- G
 
 public class EccentricityTest {
 	static String my_graph =
                "DGS004\n" + 
                "my 0 0\n" + 
                "an A \n" +
                "an B \n" +
                "an C \n" +
                "an D \n" +
                "an E \n" +
                "an F \n" +
                "an G \n" +
                "ae AB A B \n" +
                "ae BC B C \n" +
                "ae CD C D \n" +
                "ae DE D E \n" +
                "ae DF D F \n" +
                "ae DG D G \n";
 
 	public static void main(String[] args) throws IOException {
 		Graph graph = new DefaultGraph("Eccentricity Test");
 		StringReader reader = new StringReader(my_graph);
 
 		FileSourceDGS source = new FileSourceDGS();
 		source.addSink(graph);
 		source.readAll(reader);
 
 		APSP apsp = new APSP();
 		apsp.init(graph);
 		apsp.compute();
 
 		Eccentricity eccentricity = new Eccentricity();
 		eccentricity.init(graph);
 		eccentricity.compute();
 
 		for (Node n : graph.getEachNode()) {
 			Boolean in = n.getAttribute("eccentricity");
 
 			System.out.printf("%s is%s in the eccentricity.\n", n.getId(), in ? ""
 					: " not");
 		}
 	}
 }

Output will be:

A is not in the centroid
B is not in the centroid
C is in the centroid
D is not in the centroid
E is not in the centroid
F is not in the centroid
G is not in the centroid

Complexity

O(n2)

Reference

  • F. Harary, Graph Theory. Westview Press, Oct. 1969. [Online]. Available: link