tpoisot
commented
10 years ago Previous analyses showed no obvious differences between bipartite and unipartite networks in the dataset, so coloring them differently in the figures would only add clutter.
The raw results file give the detail for each networks, separated by type (bipartite second, unipartite first).
I now mention explicitely that the bipartite networks have been transformed into unipartite ones.
Fiexd in 9b8fcb9
It should be better explained how the different data types were handled with the same methods. Bipartite networks have additional (conceptual) ambiguities in how modularity should be calculated, which may be a core reason for discrepancy between modularity methods (Guimera et al., 2007, Thébault, 2013). To be able to interpret the data better, it is warranted to present or identify the unipartite and bipartite webs separately in the graphs and results.