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_triangular()
marks ties that are in triangles.
tie_is_cyclical()
marks ties that are in cycles.
tie_is_transitive()
marks ties that complete transitive closure.
tie_is_triplet()
marks ties that are in a transitive triplet.
tie_is_simmelian()
marks ties that are both in a triangle
and fully reciprocated.
They are most useful in highlighting parts of the network that are cohesively connected.
tie_is_triangular(.data)
tie_is_transitive(.data)
tie_is_triplet(.data)
tie_is_cyclical(.data)
tie_is_simmelian(.data)
tie_is_forbidden(.data)
tie_is_imbalanced(.data)
Other marks:
mark_diff
,
mark_nodes
,
mark_select
,
mark_tie_select
,
mark_ties
ison_monks %>% to_uniplex("like") %>%
mutate_ties(tri = tie_is_triangular()) %>%
graphr(edge_color = "tri")
ison_adolescents %>% to_directed() %>%
mutate_ties(trans = tie_is_transitive()) %>%
graphr(edge_color = "trans")
ison_adolescents %>% to_directed() %>%
mutate_ties(trip = tie_is_triplet()) %>%
graphr(edge_color = "trip")
ison_adolescents %>% to_directed() %>%
mutate_ties(cyc = tie_is_cyclical()) %>%
graphr(edge_color = "cyc")
ison_monks %>% to_uniplex("like") %>%
mutate_ties(simmel = tie_is_simmelian()) %>%
graphr(edge_color = "simmel")
generate_random(8, directed = TRUE) %>%
mutate_ties(forbid = tie_is_forbidden()) %>%
graphr(edge_color = "forbid")
tie_is_imbalanced(ison_marvel_relationships)
#> `Abomination-Beast` `Abomination-Colossus` `Abomination-Cyclops`
#> 1 TRUE TRUE TRUE
#> # ... with 555 more values from this nodeset unprinted. Use `print(..., n = Inf)` to print all values.