Marking ties based on structural properties

These functions return logical vectors the length of the ties in a network identifying which hold certain properties or positions in the network.

• tie_is_multiple() marks ties that are multiples.

• tie_is_loop() marks ties that are loops.

• tie_is_reciprocated() marks ties that are mutual/reciprocated.

• tie_is_feedback() marks ties that are feedback arcs causing the network to not be acyclic.

• tie_is_bridge() marks ties that cut or act as articulation points in a network.

• tie_is_path() marks ties on a path from one node to another.

They are most useful in highlighting parts of the network that are particularly well- or poorly-connected.

tie_is_multiple(.data)

tie_is_loop(.data)

tie_is_reciprocated(.data)

tie_is_feedback(.data)

tie_is_bridge(.data)

tie_is_path(.data, from, to, all_paths = FALSE)

Arguments

.data

A network object of class mnet, igraph, tbl_graph, network, or similar. For more information on the standard coercion possible, see manynet::as_tidygraph().

from

The index or name of the node from which the path should start.

to

The index or name of the node to which the path should be traced.

all_paths

Whether to return a list of paths or sample just one. By default FALSE, sampling just a single path.

See also

Other marks: mark_degree, mark_diff, mark_nodes, mark_select, mark_tie_select, mark_triangles

Examples

tie_is_multiple(fict_marvel)
#>   `Abomination-Abomination` `Abomination-Beast` `Abomination-Colossus`
#> 1 FALSE                     FALSE               FALSE                 
#> # ... and 1238 more values from this nodeset. Use `print_all(...)` to print all values.
tie_is_loop(fict_marvel)
#>   `Abomination-Abomination` `Abomination-Beast` `Abomination-Colossus`
#> 1 TRUE                      FALSE               FALSE                 
#> # ... and 1238 more values from this nodeset. Use `print_all(...)` to print all values.
tie_is_reciprocated(ison_algebra)
#>   `1->5` `1->5` `1->8` `1->9` `1->9` `1->10` `1->10` `1->11` `1->12` `1->12`
#> 1 TRUE   TRUE   FALSE  TRUE   TRUE   TRUE    TRUE    TRUE    TRUE    TRUE   
#> # ... and 269 more values from this nodeset. Use `print_all(...)` to print all values.
tie_is_feedback(ison_algebra)
#>   `1->5` `1->5` `1->8` `1->9` `1->9` `1->10` `1->10` `1->11` `1->12` `1->12`
#> 1 TRUE   TRUE   TRUE   TRUE   TRUE   TRUE    TRUE    TRUE    TRUE    TRUE   
#> # ... and 269 more values from this nodeset. Use `print_all(...)` to print all values.
tie_is_bridge(ison_brandes)
#>   `1-3` `2-3` `3-4` `4-5` `4-6` `5-7` `6-7` `6-8` `7-9` `8-9` `9-10` `9-11`
#> 1 TRUE  TRUE  TRUE  FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE   TRUE  
ison_adolescents %>%
  mutate_ties(route = tie_is_path(from = "Jane", to = 7)) 
#> 
#> ── # The Adolescent Society ────────────────────────────────────────────────────
#> # A labelled, multiplex, undirected network of 8 adolescents and 10 friendships
#> ties
#> 
#> ── Nodes 
#> # A tibble: 8 × 1
#>   name 
#>   <chr>
#> 1 Betty
#> 2 Sue  
#> 3 Alice
#> 4 Jane 
#> 5 Dale 
#> 6 Pam  
#> # ℹ 2 more rows
#> 
#> ── Ties 
#> # A tibble: 10 × 3
#>    from    to route     
#>   <int> <int> <tie_mark>
#> 1     1     2 FALSE     
#> 2     2     3 FALSE     
#> 3     3     4 TRUE      
#> 4     2     5 FALSE     
#> 5     3     5 FALSE     
#> 6     4     5 FALSE     
#> # ℹ 4 more rows
#> 
  #graphr(edge_colour = "route")