add_bipartite_summaries this function takes an interaction_model and an interaction_model, where row_universe and column_universe have two additional columns $coreness and $component_label. importantly, strange behavior if im is a symmetric graph. this treats each row index and each column index as nodes in a graph. So, if something appears in both rows and columns (e.g. as in symmetric graph), then this will be ignored.
Source:R/clean.R
add_bipartite_summaries.Rdadd_bipartite_summaries this function takes an interaction_model and an interaction_model, where row_universe and column_universe have two additional columns $coreness and $component_label. importantly, strange behavior if im is a symmetric graph. this treats each row index and each column index as nodes in a graph. So, if something appears in both rows and columns (e.g. as in symmetric graph), then this will be ignored.