Remove from all scans the (overall) most peripheral individual Individual centrality based on eigen vectors. Mostly given as an example of experimental manipulations that could be performed on scanList as expDesign, even as user-defined functions

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

remove_mostPeripheral(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_mostPeripheral() does not use additional argument, arguments passed will be ignored.

Value

a scanList, or list of such, in which the most peripheral 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
#>    a   b  c   d   e
#> a 49 228 47 165 111
#> b  0 146 24 110 131
#> c  0   0 71  20  41
#> d  0   0  0 154 227
#> e  0   0  0   0  27

# social network simulations
## theoretical scans
sL <- simunet(Adj = Adj,samp.effort = samp.effort,mode = "upper",n.scans = 120L)
#> Warning: NAs produced
#> Warning: NAs produced
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sL
#> 
#> scan: 1                
#> a NA  1  .  1  1
#> b  . NA  .  1  .
#> c  .  . NA  .  .
#> d  .  .  . NA  1
#> e  .  .  .  . NA
#> 
#> scan: 2                
#> a NA  1  .  .  .
#> b  . NA  1  1  1
#> c  .  . NA  .  .
#> d  .  .  . NA  1
#> e  .  .  .  . NA
#> 
#> ... ( 117  more scans)
#> 
#> scan: 120                
#> a NA  1  1  .  1
#> b  . NA  .  1  .
#> c  .  . NA  .  .
#> d  .  .  . NA  1
#> e  .  .  .  . NA
#> 
#> 
#> Hidden attributes:
#> scanList.type - raw.scanList - Adj - samp.effort - n.scans - mode
#> Adj.subfun - edge.Prob

## focal-scan sampling
sL |> perform_exp(design_sampling("focal","even")) |> remove_mostPeripheral()
#> 
#> scan: 1            
#> a . NA NA NA
#> b .  . NA NA
#> d .  .  . NA
#> e .  .  .  .
#> 
#> scan: 2           
#> a . 1 NA NA
#> b . .  1  1
#> d . .  . NA
#> e . .  .  .
#> 
#> ... ( 117  more scans)
#> 
#> scan: 120           
#> a . NA NA 1
#> b .  . NA .
#> d .  .  . 1
#> e .  .  . .
#> 
#> 
#> Hidden attributes:
#> scanList.type - raw.scanList - Adj - samp.effort - n.scans - mode
#> Adj.subfun - edge.Prob - focalList - theoretical.scanList