public static Vector EigenvectorCentrality(Matrix m)
{
Vector v = RandomMatrix.LoadRealUnitVector(m.Rows);
v.Labels.CopyFrom(m.RowLabels);
int numIter = Math.Max(Constants.MinimumNumberOfConvergenceSteps, m.Rows);
while (numIter-- > 0)
{
v = m * v;
v.Normalize();
}
for (int i = 0; i < v.Size; ++i)
{
v[i] *= 100.0 * Math.Sqrt(2);
}
return(v);
}
public static Vector LoadRealUnitVector(int n)
{
Vector v = new Vector(n);
Algorithms.Iota(v.Labels, 1);
Algorithms.Fill<double>(v, RNG.RandomFloat);
v.Normalize();
return v;
}
