This statistic implements the transitive weights statistic defined by Krivitsky (2012), Equation 13. For each of these options, the first (and the default) is more stable but also more conservative, while the second is more sensitive but more likely to induce a multimodal distribution of networks.
# valued: transitiveweights(twopath="min", combine="max", affect="min")the minimum
of the constituent dyads ( "min" ) or their geometric mean
( "geomean" )
the maximum of the
2-path strengths ( "max" ) or their sum ( "sum" )
the minimum of the focus dyad and the
combined strength of the two paths ( "min" ) or their
geometric mean ( "geomean" )
ergmTerm for index of model terms currently visible to the package.
ergm:::.formatTermKeywords("ergmTerm", "transitiveweights", "subsection")