redundancy: Redundancy measures

In anespinosa/netmem: Social Network Measures using Matrices

Redundancy measures

Description

Redundancy measures of the structural holes theory for binary matrixes

Usage

redundancy(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 redundancy, effective size and efficincy measures (Burt, 1992).

Author(s)

Alejandro Espinosa-Rada

References

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

Borgatti, S., 1997. Unpacking Burt's redundancy measure. Connections, 20(1): 35-38. doi: http://www.analytictech.com/connections/v20(1)/holes.htm

Examples

A <- matrix(c(
  0, 1, 0, 0, 1, 1, 1,
  1, 0, 0, 1, 0, 0, 1,
  0, 0, 0, 0, 0, 0, 1,
  0, 1, 0, 0, 0, 0, 1,
  1, 0, 0, 0, 0, 0, 1,
  1, 0, 0, 0, 0, 0, 1,
  1, 1, 1, 1, 1, 1, 0
), ncol = 7, byrow = TRUE)
rownames(A) <- letters[1:nrow(A)]
colnames(A) <- letters[1:ncol(A)]
redundancy(A, ego = "g")

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