/** Print some topology statistics. */
public void printGraphStats(boolean verbose) {
if (verbose) {
int nEdges = nEdges();
double meanDegree = ((double) (2 * nEdges)) / nodes.size();
System.out.println("Graph stats:");
System.out.println("Size: " + size());
System.out.println("Edges: " + nEdges);
System.out.println("Min degree: " + minDegree());
System.out.println("Max degree: " + maxDegree());
System.out.println("Mean degree: " + meanDegree);
System.out.println("Degree stddev: " + Math.sqrt(degreeVariance()));
System.out.println("Mean local clustering coefficient: " + meanLocalClusterCoeff());
System.out.println("Global clustering coefficient: " + globalClusterCoeff());
System.out.println();
} else {
double[] cc = localClusterCoeff();
int[] deg = degrees();
ArrayStats ccStats = new ArrayStats(cc);
ArrayStats degStats = new ArrayStats(deg);
System.out.print(
size()
+ "\t"
+ nEdges()
+ "\t"
+ minDegree()
+ "\t"
+ maxDegree()
+ "\t"
+ globalClusterCoeff()
+ "\t");
System.out.print(
ccStats.mean()
+ "\t"
+ ccStats.stdDev()
+ "\t"
+ ccStats.skewness()
+ "\t"
+ ccStats.kurtosis()
+ "\t");
System.out.print(
degStats.mean()
+ "\t"
+ degStats.stdDev()
+ "\t"
+ degStats.skewness()
+ "\t"
+ degStats.kurtosis()
+ "\t");
}
}
/** Get the topology stats as an array. */
public double[] graphStats() {
double[] cc = localClusterCoeff();
int[] deg = degrees();
ArrayStats ccStats = new ArrayStats(cc);
ArrayStats degStats = new ArrayStats(deg);
return new double[] {
size(),
nEdges(),
minDegree(),
maxDegree(),
globalClusterCoeff(),
ccStats.mean(),
ccStats.stdDev(),
ccStats.skewness(),
ccStats.kurtosis(),
degStats.mean(),
degStats.stdDev(),
degStats.skewness(),
degStats.kurtosis(),
};
}
