Everett and Borgatti specification of the constraint measure for binary matrices
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).
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")
#> $results
#> term1 term2 term3 constraint normalization
#> f 0.2 0.24 0.073 0.513 0.699
#>
#> $maximum
#> f
#> 0.648
#>