Java uses JGraphT to calculate the density of graphs

Maven coordinates of dependent class libraries: <dependency> <groupId>org.jgrapht</groupId> <artifactId>jgrapht-core</artifactId> <version>1.5.1</version> </dependency> This class library is JGraphT, a Java class library used for processing graph data structures. It implements a large number of graph algorithms and data structures, including directed graphs, undirected graphs, weighted graphs, multiple graphs, etc. The following is a complete example and Java code for using JGraphT to calculate the density of a graph: import org.jgrapht.Graph; import org.jgrapht.Graphs; import org.jgrapht.alg.connectivity.ConnectivityInspector; import org.jgrapht.generate.GnmRandomGraphGenerator; import org.jgrapht.graph.DefaultEdge; import org.jgrapht.graph.SimpleGraph; import java.util.Random; public class GraphDensityExample { public static void main(String[] args) { //Create a random graph Graph<Integer, DefaultEdge> graph = generateRandomGraph(10, 20); //Calculate the density of the graph double density = calculateDensity(graph); System. out. println ("The density of the graph is:"+density); } public static Graph<Integer, DefaultEdge> generateRandomGraph(int numVertices, int numEdges) { Graph<Integer, DefaultEdge> graph = new SimpleGraph<>(DefaultEdge.class); GnmRandomGraphGenerator<Integer, DefaultEdge> generator = new GnmRandomGraphGenerator<>(numVertices, numEdges, new Random()); generator.generateGraph(graph); return graph; } public static double calculateDensity(Graph<Integer, DefaultEdge> graph) { int numVertices = graph.vertexSet().size(); int numEdges = graph.edgeSet().size(); double maxEdges = (numVertices * (numVertices - 1)) / 2.0; return numEdges / maxEdges; } } This example randomly generates a graph and then uses a calculation formula to calculate the density of the graph. Summary: This article introduces the method of using JGraphT to calculate the density of a graph. Firstly, the Maven coordinates and a brief introduction of the JGraphT class library were introduced, followed by a complete sample and Java code. By using this method, the density of the graph can be conveniently calculated.