eb_constraint: Constraint

In anespinosa/netmem: Social Network Measures using Matrices

Constraint

Description

Everett and Borgatti specification of the constraint measure for binary matrices

Usage

eb_constraint(A, ego = NULL, digraph = FALSE, weighted = FALSE)

Arguments

A	A symmetric matrix object
ego	Name of ego in the matrix
digraph	Whether the matrix is directed or undirected
weighted	Whether the matrix is weighted or not

Value

This function returns term 1, 2 and 3, the normalization and the maximum value of the specification of Everett and Borgatti (2020), and the constraint of Burt (1992).

Author(s)

Alejandro Espinosa-Rada

References

Burt, R.S., 1992. Structural Holes: the Social Structure of Competition. Harvard University Press, Cambridge.

Everett, M.G. and Borgatti, S., 2020. Unpacking Burt's constraint measure. Social Networks 62, pp. 50-57. doi: https://doi.org/10.1016/j.socnet.2020.02.001

Examples

A <- matrix(c(
  0, 1, 1, 0, 0, 1,
  1, 0, 1, 0, 0, 1,
  1, 1, 0, 0, 0, 1,
  0, 0, 0, 0, 1, 1,
  0, 0, 0, 1, 0, 1,
  1, 1, 1, 1, 1, 0
), ncol = 6, byrow = TRUE)

rownames(A) <- letters[1:nrow(A)]
colnames(A) <- letters[1:ncol(A)]
eb_constraint(A, ego = "f")

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