mark_ties function

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: An object of a manynet-consistent class:

  • matrix (adjacency or incidence) from {base} R
  • edgelist, a data frame from {base} R or tibble from {tibble}
  • igraph, from the {igraph} package
  • network, from the {network} package
  • tbl_graph, from the {tidygraph} package

• from: The index or name of the node from which the path should be traced.

• 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.

Examples

tie_is_multiple(ison_marvel_relationships)
tie_is_loop(ison_marvel_relationships)
tie_is_reciprocated(ison_algebra)
tie_is_feedback(ison_algebra)
tie_is_bridge(ison_brandes)
ison_adolescents %>%
  mutate_ties(route = tie_is_path(from = "Jane", to = 7)) %>% 
  graphr(edge_colour = "route")

See Also

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