This term adds one network statistic for each node in the second bipartition, equal to the number of
ties of that node. For directed networks, see sender and
receiver . For unipartite networks, see sociality .
# binary: b2sociality(nodes=-1)# valued: b2sociality(nodes=-1, form="sum")
By default, nodes=-1 means that the statistic for the
first node (in the second bipartition) will be omitted, but this argument may be changed to control
which statistics are included. The nodes argument is interpreted using the new UI for level specification
(see Specifying Vertex Attributes and Levels (?nodal_attributes) for details), where both the attribute and the sorted
unique values are the vector of vertex indices (nb1 + 1):n , where
nb1 is the size of the first bipartition and n is the total number of nodes in the network. Thus nodes=120 will include only the statistic
for the 120th node in the second biparition, while nodes=I(120) will include only the statistic for the 120th node in the entire network.
character how to aggregate tie values in a valued ERGM
ergmTerm for index of model terms currently visible to the package.
ergm:::.formatTermKeywords("ergmTerm", "b2sociality", "subsection")