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package org.leores.demo;
import java.util.ArrayList;
import java.util.List;
import org.leores.math.rand.RandomEngine;
import org.leores.net.Link;
import org.leores.net.Network;
import org.leores.net.Networks;
import org.leores.net.ana.Metric;
import org.leores.net.degree.Binomial;
import org.leores.net.degree.DegreeGenerator;
import org.leores.net.degree.NetworkDegreeClone;
import org.leores.net.degree.PowerLaw;
import org.leores.net.mod.Model;
import org.leores.net.mod.Configuration;
import org.leores.net.mod.ER;
import org.leores.net.mod.FullyConnected;
import org.leores.net.mod.SameSubnets;
import org.leores.util.U;
public class ModDemo extends Demo {
public String sFileOutNet = "ModDemoNet.dat";
public String sFileOutNet2 = "ModDemoNet2.dat";
public String sFileOutNet3 = "ModDemoNet3.dat";
public void printNetMetric(String sFile) {
Metric metric = new Metric(sFile);
metric.printMetrics();
}
public void mER() {
Model ermp = new ER(1000, 0.025);
Network net = ermp.genNetwork(null);
net.saveToFile(sFileOutNet);
Model erme = new ER(2000, 1500);
Network net2 = erme.genNetwork(null);
net2.saveToFile(sFileOutNet2);
}
public void degreeAble(int n, int r) {
log("n=" + n + " r=" + r);
DegreeGenerator pl = new PowerLaw(null, 1, (int) Math.sqrt(n), r);
List<Integer> degrees = new ArrayList<Integer>();
for (int i = 0; i < n; i++) {
int k = pl.degree();
degrees.add(k);
}
log("degrees by pl.degree():", degrees);
degrees.clear();
for (int i = 0; i < n; i++) {
int k = pl.degree(i, n);
degrees.add(k);
}
log("degrees by pl.degree(i,n):", degrees);
}
public void mConfiguration() {
int n = 100, r = 3;
degreeAble(n, r);
DegreeGenerator pl = new PowerLaw(null, 1, (int) Math.sqrt(n), r);
Model cm = new Configuration(pl, n);
Network net = cm.genNetwork(null);
net.saveToFile(sFileOutNet);
}
public void printDegreeStat(String sFile) {
log(sFile);
if (sFile.indexOf("nets") >= 0) {
Networks nets = Networks.createFromFile(sFile, null, null);
log(nets.getDegreeStat());
} else {
Network net = Network.createFromFile(sFile, null, null);
log(net.getDegreeStat());
}
}
public void nRealization(Model netm, String sFile, int n) {
String sFileRealization = null;
for (int i = 0; i < n; i++) {
sFileRealization = sFile;
if (n > 1) {
int idot = sFile.lastIndexOf(".");
sFileRealization = U.insert(sFile, idot, "-" + i);
}
Network net = netm.genNetwork(null);
net.saveToFile(sFileRealization);
printDegreeStat(sFileRealization);
}
}
public void genPowerLawNetwork() {
String sFile = null;
int n = 10;
int min = 2;
int max = 20;
double r = 3;
sFile = "net-pl-cm-(" + min + "-" + max + "," + r + "," + n + ").dat";
DegreeGenerator pl = new PowerLaw(null, min, max, r);
Model cm = new Configuration(pl, n);
//nRealization(cm, sFile, 10);
Network net = cm.genNetwork(null);
net.saveToFile(sFile);
printNetMetric(sFile);
}
public void genERNetwork() {
String sFile = null;
int nNode = 1000;
int nLink = 2000;
Model erm_gne = new ER(nNode, nLink);
sFile = "net-er-gne-(" + nNode + "," + nLink + ").dat";
//nRealization(erm_gne, sFile, 1);
Network net = erm_gne.genNetwork(null);
net.saveToFile(sFile);
}
public void genDegreeCloneNetwork() {
String sFile = "net-er-gne-(1000,2000).dat";
NetworkDegreeClone ndc = new NetworkDegreeClone(sFile);
Model cm = new Configuration(ndc, ndc.n);
nRealization(cm, sFile, 3);
}
public void genFullyConnectedNetwork() {
String sFile = "net-fc-4.dat";
Model mNet = new FullyConnected(4);
Network net = mNet.genNetwork(null);
net.saveToFile(sFile);
}
public void genNetworks() {
String sFile = "fnets-5-er-gne-(100,200)-5-pl-cm-(3-10,3,100).dat";
Model mNetER = new ER(100, 200);
DegreeGenerator pl = new PowerLaw(null, 3, 10, 3);
Model mNetPL = new Configuration(pl, 100);
Networks nets1 = new Networks();
for (int i = 0; i < 5; i++) {
Network netER = mNetER.genNetwork(null);
nets1.push(netER);
}
for (int i = 0; i < 5; i++) {
Network netPL = mNetPL.genNetwork(null);
nets1.push(netPL);
}
nets1.saveToFile(sFile);
sFile = "fnets-5-er-gne-(100,200).dat";
Model mNet = new ER(100, 200);
SameSubnets mNets = new SameSubnets(5, mNet);
Networks nets2 = mNets.genNetworks(null);
nets2.saveToFile(sFile);
}
public void genConfigurationNets() {
int n = 100;
RandomEngine re = RandomEngine.makeDefault();
DegreeGenerator dgPL = new PowerLaw(re, 2, 100);
DegreeGenerator dgER = new Binomial(re, 0, 8, 4.0 / n);
Model mod = new Configuration(n, dgPL, dgER);
Networks nets = mod.genNetworks(null);
log(nets.getDegreeStat());
nets.saveToFile("nets-" + n + "-pl-er.dat");
}
public static void demo() {
ModDemo demo = new ModDemo();
demo.mER();
demo.degreeAble(10, 3);
demo.mConfiguration();
demo.genPowerLawNetwork();
demo.genDegreeCloneNetwork();
demo.genERNetwork();
demo.genNetworks();
demo.genFullyConnectedNetwork();
demo.genNetworks();
demo.printDegreeStat("net-er-gne-(1000,2000).dat");
demo.genConfigurationNets();
}
}