gwb2degreeL-ergmTerm-8b152fc6: Geometrically weighted degree distribution for the second...

In ergm.multi: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks

Geometrically weighted degree distribution for the second mode in a bipartite (aka two-mode) network

Description

This term adds one network statistic to the model equal to the weighted degree distribution with decay controlled by the which should be non-negative, for nodes in the second mode of a bipartite network. The second mode of a bipartite network object is sometimes known as the "event" mode.

This term can only be used with undirected bipartite networks.

Usage

# binary: gwb2degreeL(decay, fixed=FALSE, attrname=NULL, cutoff=30, levels=NULL, Ls=NULL)

Arguments

decay	non-negative model parameter that is the same as theta_s in equation (14) in Hunter (2007).
fixed	specify if the value supplied for decay may be fixed (if fixed=TRUE ), or it may be used as merely the starting value for the estimation in a curved exponential family model (the default).
attrname	if specified, then separate degree statistics are calculated for nodes having each separate value of the attribute.
cutoff	only relevant if fixed=FALSE . In that case it only uses this number of terms in computing the statistics to reduce the computational burden. Its default value can also be controlled by the gw.cutoff term option control parameter. (See control.ergm .)
levels	a list of layer specifications. If given, degree of a node i is considered to be the number of edges in all layers, combined.
Ls	a list (constructed by list() or c() of one or more Layer Logic specifications (c.f. Layer Logic section in the Layer() documentation).

See Also

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

\Sexpr[results=rd,stage=render]{ergm:::.formatTermKeywords("ergmTerm", "gwb2degreeL", "subsection")}

ergm.multi documentation built on May 29, 2024, 11:07 a.m.