My colleague and I are looking to use SNA to look at the risk of contact between an intermediate and definitive host of a parasite. We have built a bipartite network where one set of nodes consist of locations where intermediate hosts reside (and which we have data on abundance) and the other set of nodes consist of the definitive hosts that are connected to the location nodes based on presence/absence from field surveys. The edges in the network are weighted based on abundance of intermediate hosts and the distance definitive hosts are from the location. The initial idea was to identify which locations had the greatest influence in terms of contact between intermediate and definitive hosts, using either normalised (weighted) degree or centrality. However, to do this we understand that the network would need to be projected into a unipartite network – the rationale for connecting locations in a project networks seems theoretically wrong for our purpose. Are there other approaches that can directly calculate normalised degree in a weighted bipartite network without the need to project the network?

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