Hi, I would like to use boost::betweenness_centrality_clustering() to search a graph for specific clusters. The documentation talks about a "Done" object, which I assume is a functor, similar to the predicates used in filtered_graph(). So in order to decide whether the algorithm should stop the clustering, it probably needs a threshold to decide if it should further iterate and remove edges to decompose the graph. My questions now are: - Does someone perhaps have an example for the usage of this algorithm? I only found documentation on "betweenness.centrality.clustering {RBGL}" for Gnu R, which doesn't bring me very far. - Is there some sort of rule-of-thumb to start with for finding this termination threshold or if there is some more-or-less methodical way of finding out a reasonable threshold? Best, Cedric