Below is the syntax highlighted version of SmallWorld.java
from §4.5 Case Study: Small World.
/****************************************************************************** * Compilation: javac SmallWorld.java * Execution: java SmallWorld filename delimiter * Dependencies: Graph.java PathFinder.java StdOut.java In.java * Data files: https://introcs.cs.princeton.edu/java/45graph/tinyGraph.txt * * % java SmallWorld tinyGraph.txt " " * number of vertices = 5 * number of edges = 7 * average degree = 2.800 * maximum degree = 4 * average degree = 2.800 * average path length = 1.300 * clustering coefficient = 0.767 * ******************************************************************************/ public class SmallWorld { public static double averageDegree(Graph G) { return (double) 2 * G.E() / G.V(); } public static double averagePathLength(Graph G) { int sum = 0; for (String v : G.vertices()) { PathFinder pf = new PathFinder(G, v); for (String w : G.vertices()) sum += pf.distanceTo(w); } return (double) sum / (G.V() * (G.V() - 1)); } // Compute clustering coefficient. public static double clusteringCoefficient(Graph G) { double total = 0.0; for (String v : G.vertices()) { // Cumulate local clustering coefficient of vertex v. int possible = G.degree(v) * (G.degree(v) - 1); int actual = 0; for (String u : G.adjacentTo(v)) { for (String w : G.adjacentTo(v)) { if (G.hasEdge(u, w)) actual++; } } if (possible > 0) { total += 1.0 * actual / possible; } } return total / G.V(); } // return maximum degree of any vertex public static int maxDegree(Graph G) { int max = 0; for (String v : G.vertices()) { if (G.degree(v) > max) max = G.degree(v); } return max; } public static void main(String[] args) { String filename = args[0]; String delimiter = args[1]; Graph graph = new Graph(filename, delimiter); StdOut.printf("number of vertices = %7d\n", graph.V()); StdOut.printf("number of edges = %7d\n", graph.E()); StdOut.printf("average degree = %7.3f\n", averageDegree(graph)); StdOut.printf("maximum degree = %7d\n", maxDegree(graph)); StdOut.printf("average path length = %7.3f\n", averagePathLength(graph)); StdOut.printf("clustering coefficient = %7.3f\n", clusteringCoefficient(graph)); } }