posneg_index: Positive-negative centrality

In anespinosa/netmem: Social Network Measures using Matrices

Positive-negative centrality

Description

Positive-negative centrality

Usage

posneg_index(A, select = c("all", "in", "out"))

Arguments

A	A signed symmetric matrix (i.e., with ties that are either -1, 0 or 1)
select	Whether to consider the direction of the outgoing ties. Considering all (default), in or out ties.

Value

This function return the positive-negative centrality index for signed networks (Everett and Borgatti).

Source

Adapted from David Schoch 'signnet'

References

Everett, Martin and Borgatti, Stephen (2014). Networks containing negative ties. Social Networks, 38, 111-120. http://dx.doi.org/10.1016/j.socnet.2014.03.005

Examples

A <- matrix(
  c(
    0, 1, -1, -1, -1, -1, 0, 0, 0, 0, 0, -1, 0, 0, 1, 1,
    1, 0, -1, 0, -1, -1, 0, 0, -1, -1, 0, 0, 0, 0, 1, 1,
    -1, -1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0,
    -1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
    -1, -1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, -1, -1,
    -1, -1, 1, 0, 0, 0, 1, 1, -1, 0, 1, 1, -1, 0, 0, -1,
    0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0,
    0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, -1, 0, 0,
    0, -1, 0, 0, 1, -1, 0, 0, 0, 1, -1, 0, 1, 0, -1, 0,
    0, -1, 0, 0, 0, 0, 0, 0, 1, 0, -1, 0, 1, 0, -1, 0,
    0, 0, 0, 0, 0, 1, 1, 1, -1, -1, 0, 1, -1, 0, -1, -1,
    -1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, -1, -1, -1,
    0, 0, 0, 0, 0, -1, 1, 0, 1, 1, -1, 0, 0, 1, -1, -1,
    0, 0, 0, 0, 1, 0, 0, -1, 0, 0, 0, -1, 1, 0, 0, -1,
    1, 1, 0, 0, -1, 0, 0, 0, -1, -1, -1, -1, -1, 0, 0, 1,
    1, 1, 0, 0, -1, -1, 0, 0, 0, 0, -1, -1, -1, -1, 1, 0
  ),
  ncol = 16, nrow = 16, byrow = TRUE
)
label <- c(
  "Gavev", "Kotun", "Ove", "Alika", "Nagam", "Gahuk", "Masil", "Ukudz",
  "Notoh", "Kohik", "Geham", "Asaro", "Uheto", "Seuve", "Nagad", "Gama"
)
rownames(A) <- label
colnames(A) <- rownames(A)
posneg_index(A, select = c("all"))

anespinosa/netmem documentation built on April 5, 2025, 5:02 p.m.