R: Mixing matrix for k-stars centered on the first mode of a...

b1starmix-ergmTerm {ergm} | R Documentation

## 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` | quantitative attribute (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.

[Package ergm version 4.2.1 Index]