Hello,

I am trying to normalize the output of `BlockState.get_matrix()`

based on the degree correction so that we can show the implied parameters of the Poisson distribution, ie the \lambda_{rs} in E[i \in r \to j \in s] = \lambda_{rs}\theta_i\theta_j

I am following Taigo’s paper Statistical inference of assortative community structures (arxiv.org), where equation 10 gives a nonlinear system to solve for the block level \theta_r.

But I realize I am not sure which flavor of SBM `minimize_blockmodel_dl`

is implementing, and if the above paper is the right reference. Any guidance on this would be greatly appreciated.