R: Degree

b2sociality-ergmTerm {ergm} | R Documentation

## Degree

### Description

This term adds one network statistic for each node in the second bipartition, equal to the number of ties of that node. For directed networks, see `sender` and `receiver` . For unipartite networks, see `sociality` .

### Usage

    # binary: b2sociality(nodes=-1)

    # valued: b2sociality(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` | character how to aggregate tie values in a valued ERGM

### Note

This term can only be used with undirected bipartite networks.

### See Also

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

[Package ergm version 4.2.1 Index]