These functions return logical vectors the length of the ties in a network:
tie_is_random() marks one or more ties at random.
tie_is_max() and tie_is_min() are more useful
for converting the results from some tie measure into a mark-class object.
They can be particularly useful for highlighting which tie or ties
are key because they minimise or, more often, maximise some measure.
tie_is_random(.data, size = 1)
tie_is_max(tie_measure)
tie_is_min(tie_measure)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
The number of nodes to select (as TRUE).
An object created by a tie_ measure.
Other marks:
mark_diff,
mark_nodes,
mark_select,
mark_ties,
mark_triangles
# tie_is_max(migraph::tie_betweenness(ison_brandes))
#tie_is_min(migraph::tie_betweenness(ison_brandes))