Doesn't work for a fully connected weighted graph

[qxu1994]

Thanks for the code!

I'm trying to calculate SWP for my fully connected weighted graph which contains 10 nodes. A further check shows that the program was stuck within the while loop in regular_matrix_generator( ), as B[a, z] was always 0 when z equals to 4. Maybe the approximate radius in small_world_propensity( ) should be adjusted?

Here is a preview of the 10x10 input matrix:

array([[0.        , 0.49810255, 0.23660737, ..., 0.24742661, 0.16791965, 0.41762051],
       [0.49810255, 0.        , 0.24386877, ..., 0.14405741, 0.16249932, 0.33356544],
       [0.23660737, 0.24386877, 0.        , ..., 0.18854478, 0.08817706, 0.17486422],
       ...,
       [0.24742661, 0.14405741, 0.18854478, ..., 0.        , 0.12500563, 0.30264562],
       [0.16791965, 0.16249932, 0.08817706, ..., 0.12500563, 0.        , 0.08587351],
       [0.41762051, 0.33356544, 0.17486422, ..., 0.30264562, 0.08587351, 0.        ]])