Once you have it as a weighted one-mode network, use other tnet functions for weighted centrality measures (betweenness, degree, closeness).
Hope that helps.
R
On , Guy Bourne <address@hidden> wrote:
> Hi, > > > > I'm looking to collapse large 2-mode networks into 1-mode networks to analyse centrality between nodes in one vertext set. To do this I was planning on using bipartite.projection, but I wasn't sure if the output of this could be a weighted graph. The data that I've used doesn't seem to produce repeated edges (presumably as the output is a simple graph) so I was wondering if there was an option for a weighted graph output? > > > > > Thanks in advance for your time! > > > > Kind regards, > > > > Guy > >