[statnet_help] Estimating difference in event size between 2 levels of an actor attribute in bipartite networks

Fisher, David david.fisher at abdn.ac.uk
Fri Jul 3 09:31:03 PDT 2020

Hi folks,

I hope you are all well. My name is David, I'm a Research fellow at the University of Aberdeen in the UK.

I've recently started playing around with modelling actor by event bipartite networks using "ergm". My first mode are actors with a single attribute, which is a 2-level factor (lets call it "colour", with reds and blues), while my 2nd mode are events which have no attributes. I am interested in two things:

1. Do actors of one category (e.g. reds) appear in more events than actors of the other category?
I am reasonably happy I get at this with "b1factor("colour")"

1. Do actors of one category appear in larger/more well attended events than actors of the other category?
I cannot work out how to model this, but I am certain that there is a term for it and I am just not understanding the documentation. I don't think it is "b2factor("colour")" as events do not vary by colour. I don't think it is any of the nodematch functions (e.g. "b1nodematch("sex")") as I am not interested (for now) in whether reds attend events with other reds. I think I want to compare the number of two paths between the two groups, but I can't see a function to do that. Alternatively, perhaps you could frame it as a b2 k-star question, and does the number of different k-stars where the events are the central node depend on the category of those nodes they are attached too...

Any help would be greatly appreciated.

Best regards,


David N. Fisher
Research Fellow
The School of Biological Sciences
University of Aberdeen
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