If you create a two-mode edgelist with numbers and loaded it in R, then you would use tnet’s function projecting_tm to create the one-mode network. Just send me an email with the specific details of your network if you are still struggling.

Best,

Tore

I am taking an introductory complex networks class and for my course projest I am trying to analyze the labor market as a network. From employment surveys, I have created a bi-partite network that links type of training to type of education. I found your post very useful and I wanted to ask you what software/language you are using to project two-mode networks into one-mode. I would like to project my two-mode network into the space of occupations and I understand the theory, but don’t know how to implement it.

Thanks

Trying to coerce networks into being static, one-mode, undirected, and binary is in fact one of the largest problems we have when analysing networks. My thesis was devoted to weighted network, whereas I’m recently dealing with two-mode networks. In particular, I have worked on a paper on clustering coefficient for two-mode networks. The global version is on this blog, and the local version will be put up January. Together they will hopefully make a paper on clustering in two-mode networks. The local coefficient that I propose is slightly different from the Jaccard coefficient you suggested in the paper.

See the paper:
Basic Notions for the Analysis of Large Two-mode Networks.
Matthieu Latapy, Clémence Magnien and Nathalie Del Vecchio
Social Networks (2008), vol. 30, no1, pp. 31-48.