Check (and count) duplicated edges

Looks for duplicated edges and reports the number of instances of them.

Usage

check.dpl.edges(edges, undirected = FALSE, order.edgelist = TRUE)

Arguments

edges

A matrix or data frame structured as a list of edges

undirected

Declares if the net is directed or not (does de difference)

order.edgelist

Whether to sort the resulting matrix or not

Value

A three column data.frame with colnames “source”, “target” “reps”.

Details

check.dpl.edges looks for duplicated edges reporting duplicates and counting how many times each edge is duplicated.

For every group of duplicated edges only one will be accounted to report number of instances (which will be recognized with a value higher than 2 in the reps column), the other ones will be assigned an NA at the reps value.

See also

Other manipulation: switch.edges()

Author

George Vega Yon

Examples

  # An edgelist with duplicated dyads
  relations <- cbind(c(1,1,3,3,4,2,5,6), c(2,3,1,1,2,4,1,1))
  
  # Checking duplicated edges (undirected graph)
  check.dpl.edges(edges=relations, undirected=TRUE)
#>   source target reps
#> 1      1      2    1
#> 2      1      3   NA
#> 3      3      1   NA
#> 4      3      1    3
#> 5      4      2   NA
#> 6      2      4    2
#> 7      5      1    1
#> 8      6      1    1