mark_triangles: Marking ties based on triangular properties

In netrics: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties

Marking ties based on triangular properties

Description

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 part of triangles.

• tie_is_cyclical() marks ties that are part of cycles.

• tie_is_triplet() marks ties that are part of transitive triplets.

• tie_is_simmelian() marks ties that are both in a triangle and fully reciprocated.

• tie_is_imbalanced() marks ties that are part of imbalanced triads.

• tie_is_transitive() marks ties that complete transitive closure.

They are most useful in highlighting parts of the network that are cohesively connected.

Usage

tie_is_triangular(.data)

tie_is_transitive(.data)

tie_is_triplet(.data)

tie_is_cyclical(.data)

tie_is_simmelian(.data)

tie_is_imbalanced(.data)

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().

Value

A tie_mark logical vector the length of the ties in the network, giving either TRUE or FALSE for each tie depending on whether the condition is matched.

See Also

Other marks: mark_core, mark_degree, mark_diff, mark_dyads, mark_nodes, mark_select_node, mark_select_tie, mark_ties

Other tie: mark_dyads, mark_select_tie, mark_ties, measure_broker_tie, measure_centralities_between, measure_centralities_close, measure_centralities_degree, measure_centralities_eigen

Other cohesion: measure_breadth, measure_cohesion, measure_fragmentation, motif_net, motif_node

Examples

ison_monks |> to_uniplex("like") |> 
  mutate_ties(tri = tie_is_triangular())
ison_adolescents |> to_directed() |> 
  mutate_ties(trans = tie_is_transitive())
ison_adolescents |> to_directed() |> 
  mutate_ties(trip = tie_is_triplet())
ison_adolescents |> to_directed() |> 
  mutate_ties(cyc = tie_is_cyclical())
ison_monks |> to_uniplex("like") |> 
  mutate_ties(simmel = tie_is_simmelian())
fict_marvel |> to_uniplex("relationship") |> tie_is_imbalanced()

netrics documentation built on July 24, 2026, 5:07 p.m.