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 [email protected] https://lists.skewed.de/mailman/listinfo/graph-tool
