Results of Girvan-Newman test with model selection.

Like before, we used 10 network instances for each k_out. For each network and each SBM variant we executed the MHA 50k 10 times for each K = 1, …, 10. Then we considered one execution for each network for all number of group K ∈ {1, …, 10} as one unit and executed the model selection based on these results. Therefore, a data point is the average of 100 AMI values resulting from the 10 network instances and the 10 selected partitions. For the classic models only the best model selection according to Table 2 is shown.