b1sociality-ergmTerm-4c85e6e8: Degree

In statnet/ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks

Degree

Description

This term adds one network statistic for each node in the first bipartition, equal to the number of ties of that node. This term can only be used with bipartite networks. For directed networks, see sender and receiver. For unipartite networks, see sociality.

Usage

# binary: b1sociality(nodes=-1)

# valued: b1sociality(nodes=-1, form="sum")

Arguments

nodes

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.

form

how to aggregate tie values in a valued ERGM: "sum" (the default) for a statistic of the form \sum_{i,j} x_{i,j} y_{i,j}, where y_{i,j} is the value of dyad (i,j) and x_{i,j} is the term's covariate associated with it; and "nonzero" with the edge considered to be present if its value is not 0. See ergmTerm for more information.

See Also

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

\Sexpr[results=rd,stage=render]{ergm:::.formatTermKeywords("ergmTerm", "b1sociality", "subsection")}

statnet/ergm documentation built on Feb. 28, 2025, 7:05 p.m.