The MLG-MCG graph is also known as a bipartite network. This is a special kind of network where there are two kinds of nodes and connections may only be between nodes of different types.
A simple method to test this would be to compare it with random graphs using igraph's sample_bipartite(), but there are several papers that talk about statistical inference of these graphs:
The MLG-MCG graph is also known as a bipartite network. This is a special kind of network where there are two kinds of nodes and connections may only be between nodes of different types.
A simple method to test this would be to compare it with random graphs using igraph's
sample_bipartite()
, but there are several papers that talk about statistical inference of these graphs:Strona and Veech, 2015 (Methods in Ecology and Evolution) Saracco et al., 2015 (Scientific Reports) Yildrim and Cosica, 2014 (PLoS One)
I have not yet read these papers deeply, but given the size of our data set, we have a good chance of more formally investigating this angle.