This creates some similarity between texts from different clusters, blurring the lines between them.
louvain and MCl follow a similar pattern on PAS: both perform at their peak on the most modular similarity metric (dependency), but louvain handles slightly less modular similarity metrics nearly as well as the most modular one, while MCl quickly falters.