b1starmix-ergmTerm-e8fb79b6: Mixing matrix for k-stars centered on the first mode of a...

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

Mixing matrix for k-stars centered on the first mode of a bipartite network

Description

This term counts all k-stars in which the b2 nodes (called events in some contexts) are homophilous in the sense that they all share the same value of attr . However, the b1 node (in some contexts, the actor) at the center of the k-star does NOT have to have the same value as the b2 nodes; indeed, the values taken by the b1 nodes may be completely distinct from those of the b2 nodes, which allows for the use of this term in cases where there are two separate nodal attributes, one for the b1 nodes and another for the b2 nodes (in this case, however, these two attributes should be combined to form a single nodal attribute, attr). A different statistic is created for each value of attr seen in a b1 node, even if no k-stars are observed with this value.

Usage

# binary: b1starmix(k, attr, base=NULL, diff=TRUE)

Arguments

k	only a single value of k is allowed
attr	a vertex attribute specification (see Specifying Vertex attributes and Levels (?nodal_attributes) for details.)
base	deprecated
diff	whether a different statistic is created for each value seen in a b2 node. When diff=TRUE, the default, a different statistic is created for each value and thus the behavior of this term is reminiscent of the nodemix term, from which it takes its name; when diff=FALSE , all homophilous k-stars are counted together, though these k-stars are still categorized according to the value of the central b1 node.

Note

The argument base is retained for backwards compatibility and may be removed in a future version. When both base and levels are passed, levels overrides base.

See Also

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

\Sexpr[results=rd,stage=render]{ergm:::.formatTermKeywords("ergmTerm", "b1starmix", "subsection")}

statnet/ergm documentation built on April 17, 2024, 12:21 p.m.