private void button2_Click(object sender, EventArgs e)
{
int N = int.Parse(textBox4.Text);
int N_init = int.Parse(textBox6.Text);
int E = int.Parse(textBox3.Text);;
BarabasiAlbertModel g = new BarabasiAlbertModel(N, false, false, N_init, E);
Data.RandomNetwork d = g.Generate();
if (radioButton6.Checked)
{
if (visualize)
{
var graphviz = new GraphvizAlgorithm <int, UndirectedEdge <int> >(d.MGraph);
string output = graphviz.Generate(new FileDotEngine(), "graph");
pictureBox2.ImageLocation = "graph.png";
}
label4.Text = string.Format(@"{0}", d.ClusteringCoefficient());
var degreeDistribuition = d.DegreeDistribuition();
ErdosDistribuitionDegreeChart.Titles.Add(new Title(RandomGraphStrings.DegreeChartTitle));
GenerateDegreeDistribuitionChart(chart1, degreeDistribuition);
}
if (radioButton5.Checked)
{
GenerateAveragePathLengthBarabasiChart(chart7, N, N_init, E);
GenerateClusteringCoefficientChartBarabasi(chart6, N, N_init, E);
}
}
private void GenerateAveragePathLengthBarabasiChart(Chart chart, int N, int Ninit, int Edges)
{
int iter = 20;
double max = 0;
double[] datax = new double[iter];
double[] datay = new double[iter];
chart.Series.Clear();
chart.Legends.Clear();
chart.Titles.Clear();
chart.ChartAreas.Clear();
BarabasiAlbertModel g;
for (int i = 0; i < iter; i++)
{
g = new BarabasiAlbertModel(N, false, false, Ninit, Edges * i);
Data.RandomNetwork d = g.Generate();
datay[i] = d.AveragePathLength();
datax[i] = (double)i / iter;
if (datay[i] > max)
{
max = datay[i];
}
Console.WriteLine("x : " + datax[i] + ", y : " + datay[i]);
}
ChartSeries(chart, datax, datay, "p = Avg Path Len", iter, N);
ChartAreas(chart, "Graph Avg Path Length", max);
ChartTitle(chart, "");
}
private void GenerateClusteringCoefficientChartBarabasi(Chart chart, int N, int Ninit, int Edges)
{
int iter = 20;
int portion = Edges;
double[] datax = new double[iter];
double[] datay = new double[iter];
chart.Series.Clear();
chart.Legends.Clear();
chart.Titles.Clear();
chart.ChartAreas.Clear();
BarabasiAlbertModel g;
for (int i = 0; i < iter; i++)
{
//RandomGraph g = new RandomGraph(N, (double)i/iter);
g = new BarabasiAlbertModel(N, false, false, Ninit, Edges * i);
//ErdösRenyiModel g = new ErdösRenyiModel(N, (double)i / iter);
Data.RandomNetwork d = g.Generate();
datay[i] = d.ClusteringCoefficient();
datax[i] = (double)i / iter;
//Console.WriteLine("x : " + datax[i] + ", y : " + datay[i]);
}
ChartSeries(chart, datax, datay, "p = Clust. Coeff.", iter, N);
ChartAreas(chart, "Graph Clustering Coefficient", 1);
ChartTitle(chart, "");
}
public static void testBarabasiAlbertModel()
{
//Model specific variabels
int nodes = 500;
int degree = 2;
bool allowReflexive = false;
bool directed = false;
int init = 3;
int edges = ((init) * (init - 1) / 2 + (degree * (nodes - init)));
//Create the model
BarabasiAlbertModel bam;
DegreeDistributionMetric metric = new DegreeDistributionMetric();
for (int i = 100; i < 1000; i += 100)
{
bam = new BarabasiAlbertModel(i, allowReflexive, directed, init, degree);
RandomNetwork random_network = bam.Generate();
var dddegree = metric.Analyze(random_network, directed);
Console.WriteLine(string.Format("{0};{1}", i, dddegree));
}
//for (int j = 4; j <= 10; j += 2)
//{
// bam = new BarabasiAlbertModel(j, allowReflexive, directed, init, degree);
// RandomNetwork random_network = bam.Generate();
// DegreeDistributionMetric metric = new DegreeDistributionMetric();
// AverageDegreeMetric m = new AverageDegreeMetric();
// m.Analyze(random_network, directed);
// double c = metric.Analyze(random_network, directed);
//}
}
public static void testBaModel()
{
int nodes = 1000;
double beta = 0.7;
int degree = 4;
bool allowReflexive = false;
bool directed = false;
BarabasiAlbertModel wsm = new BarabasiAlbertModel(nodes, allowReflexive, directed, 3, 5);
var net = wsm.Generate();
DegreeDistributionMetric metric = new DegreeDistributionMetric();
var dddegree = metric.Analyze(net);
foreach (var d in dddegree)
{
Console.WriteLine(string.Format("{0};{1}", d.Key, d.Value));
}
//var graphviz = new GraphvizAlgorithm<int, UndirectedEdge<int>>(random_network.MGraph);
//string output = graphviz.Generate(new FileDotEngine(), "graph");
int edges = 2 * degree * nodes;
}
