b2factor-ergmTerm: Factor attribute effect for the second mode in a bipartite...

b2factor-ergmTermR Documentation

Factor attribute effect for the second mode in a bipartite network


This term adds multiple network statistics to the model, one for each of (a subset of) the unique values of the attr attribute. Each of these statistics gives the number of times a node with that attribute in the second mode of the network appears in an edge. The second mode of a bipartite network object is sometimes known as the "event" mode.


# binary: b2factor(attr, base=1, levels=-1)

# valued: b2factor(attr, base=1, levels=-1, form="sum")



quantitative attribute (see Specifying Vertex attributes and Levels (?nodal_attributes) for details.)




this optional argument controls which levels of the attribute attributes and Levels (?nodal_attributes) for details.)


character how to aggregate tie values in a valued ERGM


To include all attribute values is usually not a good idea, because the sum of all such statistics equals the number of edges and hence a linear dependency would arise in any model also including edges. The default, levels=-1, is therefore to omit the first (in lexicographic order) attribute level. To include all levels, pass either levels=TRUE (i.e., keep all levels) or levels=NULL (i.e., do not filter levels).

The argument base is retained for backwards compatibility and may be removed in a future version. When both base and levels are passed, levels overrides base.

This term can only be used with undirected bipartite networks.

See Also

ergmTerm for index of model terms currently visible to the package.

ergm documentation built on June 2, 2022, 1:07 a.m.