Hello, I am trying to fit a stochastic block model to a network in order to ultimately do link prediction. I am reasonably happy comparing different versions of the SBMs to each other by computing and comparing posterior odds ratios so I can determine which configuration is best at describing my data. What I however am not sure about yet is how good the model is in actually describing the data (after all, if they are all very poor in fitting my particular network than the fact that one is better than the rest doesn't guarantee that it is actually any good at describing my data and thus my later predictions based on it will therefore also be off) and whether there is some metric or procedure I could use to get an idea for this. Does anybody have any advice on this?
Thank you for your help in advance! With best wishes, Philipp -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/Evaluating-goodness-of-fit-of-stochastic-block-model-tp4027186.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
