remove_mostCentral: Remove from all scans the (overall) most central individual...

In R-KenK/SimuNet: Network Simulation Framework, with a Zest of Empiricism

Description

Written as a S3 method to be applied to scanList or sLlist (list of scanList) objects.

Usage

remove_mostCentral(scan.list, ...)

Arguments

scan.list	a scanList or sLlist object. See objects returned by simunet()
...	additional arguments to be passed. At the moment scale_scans() does not use At the moment remove_mostCentral() does not use additional argument, arguments passed will be ignored.

Value

a scanList, or list of such, in which the most central node has been removed. See also simunet().

See Also

simunet(), design_exp(), perform_exp().

Examples

set.seed(42)
n <- 5L
samp.effort <- 241L

# Adjacency matrix import
## random directed adjacency matrix
Adj <- sample(1:samp.effort,n * n) |>
  matrix(nrow = 5,dimnames = list(letters[1:n],letters[1:n]))
Adj[lower.tri(Adj,diag = FALSE)] <- 0L
Adj

# social network simulations
## theoretical scans
sL <- simunet(Adj = Adj,samp.effort = samp.effort,mode = "upper",n.scans = 120L)
sL

## focal-scan sampling
sL |> perform_exp(design_sampling("focal","even")) |> remove_mostCentral()

R-KenK/SimuNet documentation built on Oct. 22, 2021, 1:27 a.m.