Create a mixing matrix from node attributes. The mixing matrix is a two-dimensional
matrix that cross-classifies the edges depending on the values of their attributes.
This matrix allowed identifying segregation and homophily at the network level.
Usage
mix_matrix(A, att = NULL, digraph = TRUE)
Arguments
- A
A symmetric matrix object
- att
Categorical attribute of the nodes
- digraph
Whether the matrix is directed. A symmetric matrix is always treated as undirected
Value
This function returns a mixing matrix
Details
Values in the diagonal are the number of ties within groups, and off-diagonal are the number of relations between groups.
For directed networks the entries are the arcs between the groups. For undirected networks every edge is counted
once, so the entries outside the diagonal are half of the edges between the two groups.
Author
Alejandro Espinosa-Rada
Examples
n <- 100
A <- matrix(c(rbinom(n, 1, 0.5)),
ncol = sqrt(n), nrow = sqrt(n), byrow = TRUE
)
rownames(A) <- letters[1:nrow(A)]
colnames(A) <- letters[1:ncol(A)]
att <- rbinom(sqrt(n), 3, 0.5)
mix_matrix(A, att = att)
#> To
#> From 0 1 2 3
#> 0 7 3 2 3
#> 1 4 1 1 3
#> 2 4 3 1 1
#> 3 3 3 2 1
