/// <summary>
/// returns graph sample from super graph whith k size
/// </summary>
/// <param name="super"></param>
/// <param name="k"></param>
/// <returns></returns>
public Graph GetRandomSubgraphESU(Graph super, int k)
{
if (k <= 2)
throw new ArgumentOutOfRangeException();
Graph sub = new Graph();
Random rand = new Random();
int nonNeighborCount = 0;
sub.AddVertice(super.Vertices[rand.Next(super.Vertices.Count)]);
while (sub.Vertices.Count < k)
{
Vertice vert = sub.Vertices[rand.Next(sub.Vertices.Count)];
System.Threading.Thread.Sleep(2);
List<Vertice> nhood = Graph.GetVerticesNeighborhood(super, sub, vert);
if (nhood.Count != 0)
{
Vertice vertice = nhood[rand.Next(nhood.Count)];
// if (vert.index < vertice.index)
// {
nonNeighborCount = 0;
Edge edge = new Edge(vertice.index, vert.index);
sub.AddVertice(vertice);
sub.AddEdge(edge);
// }
// else
// {
// nonNeighborCount++;
// if (nonNeighborCount == 5)
// return null;
// }
}
else
{
nonNeighborCount++;
if (nonNeighborCount == 5)
return null;
}
}
int verticeIndex = 0;
Dictionary<int, int> edges = new Dictionary<int, int>();
foreach (Vertice vertice in sub.Vertices)
{
edges[vertice.index] = verticeIndex;
vertice.index = verticeIndex;
verticeIndex++;
}
sub.changeEdeVerticeIndex(edges);
if (sub.Edges.Count == 1)
{
int edg = sub.Edges.Count;
}
return sub;
}
public static Graph createGraphFromFile()
{
//Protein-Protein Network
Graph graph = new Graph();
for (int i = 0; i < 2114; i++)
{
graph.AddVertice(new Vertice(i));
}
StreamReader reader = new StreamReader("NDYeast.net");
string line = reader.ReadLine();
while (line != null)
{
if (line[0] == '*')
{
line = reader.ReadLine();
continue;
}
string[] tokens = line.Split(' ');
int edge1Index = Convert.ToInt32(tokens[0]);
for (int i = 1; i < tokens.Length; i++)
{
graph.AddEdge(new Edge(edge1Index - 1, Convert.ToInt32(tokens[i]) - 1));
}
line = reader.ReadLine();
}
reader.Close();
return graph;
}
