ModularityPruning
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ragibson
Pruning tool to identify small subsets of network partitions that are significant from the perspective of stochastic block model inference. This method works for single-layer and multi-layer networks,...
It may be nice to add type hints to our library where possible. That said, it appears that `igraph`, `leidenalg`, `louvain`, `matplotlib`, `scipy`, and `seaborn` do not support type hints...
The SBM equivalence used for gamma estimates assumes drawing from an undirected stochastic block model even when the network is truly directed. For our work, this only affects the Lazega...
It would be nice to officially add support for weighted graphs even though this is outside the scope of our paper. Several parts of the pruning pipeline already handle edge...