Hi Tiago, so this is what I want:
I want to calculate the log likelihood that the SBM modeled from a network
fits the network correctly. I want to compare this with the likelihood of
other model fits to the network. I have the log likelihood scores for other
model fits, but SBM is pending.
Till now, I was trying to get the edge probabilities for all the edges and
trying to calculate the log likelihood based on that, but it doesn't seem
like this is a good way to go.

Can you give me a workaround for this with Graph Tool?

I want to calculate the likelihood that the model generated by
minimize_blockmodel_dl fits the graph which is input into it without
dropping any constants in the process.  The constants part is important
because I want the real likelihood so that I can compare it with fits of
other models.

Sukrit



--
View this message in context: 
http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/Getting-edge-probabilities-for-SBM-tp4026758p4026764.html
Sent from the Main discussion list for the graph-tool project mailing list 
archive at Nabble.com.
_______________________________________________
graph-tool mailing list
graph-tool@skewed.de
https://lists.skewed.de/mailman/listinfo/graph-tool

Reply via email to