Hello dear members of the mailing list,
I am not sure I am doing the gt.minimize_blockmodel_dl properly, over
directed networks. In the plot
you can see the yellow nodes 27 and 147 are in the center of the star-like
structures. However, with opposite arrows sense. I would expect the same
kind of connectivity, then characterized by similar incomming and outcomming
My instruction is:
State = gt.minimize_blockmodel_dl (g2, deg_corr = False, overlap = False)
Where the directionality has been already established in the graphml input
Shall I change any option in the gt.minimize_blockmodel_dl instruction?
Thank you very much in advance,
That is not how the degree-corrected SBM works. It incorporates the
(in,out)-degrees as parameters that are independent of the group memberships.
See this paper for a discussion of this model and some alternative
For this particular network, you might want to consider using the
Thanks for your very fast reply.
I am confused about the following. I understand that if I set: deg_corr =
False, as I did in the last example, then I am using the
non-degree-corrected model, as you suggested. Am I wrong?
I'm sorry, I overlooked that.
Indeed in this case it might be the result of a bad fit. You should call the
function multiple times and use the result with the smallest description
length (obtained via state.entropy()).