This term adds one network statistic to the model for
each element in k . The \(i\) th such statistic counts the number of
distinct k[i] -stars whose center node is in the second mode of the
network. The second mode of a bipartite network object is sometimes known as
the "event" mode. A \(k\) -star is defined to be a center node \(N\) and
a set of \(k\) different nodes \(\{O_1, \dots, O_k\}\) such that the
ties \(\{N, O_i\}\) exist for \(i=1, \dots, k\) . This term can only be used for
undirected bipartite networks.
# binary: b2star(k, attr=NULL, levels=NULL)a vector of distinct integers
quantitative attribute (see Specifying Vertex attributes and Levels (?nodal_attributes) for details.) then the count is over
the number of \(k\) -stars (with center node in the second mode) where all
nodes have the same value of the attribute.
TODO (See Specifying Vertex
attributes and Levels (?nodal_attributes) for details.)
ergmTerm for index of model terms currently visible to the package.
ergm:::.formatTermKeywords("ergmTerm", "b2star", "subsection")