mark_ties: Marking ties based on their properties

In migraph: Multimodal Network Analysis and More

Marking ties based on their properties

Description

These functions return logical vectors the length of the ties in a network, identifying which hold some property. They are most useful in highlighting parts of the network that are particularly well- or poorly-connected.

Usage

tie_is_multiple(.data)

tie_is_loop(.data)

tie_is_reciprocated(.data)

tie_is_bridge(.data)

tie_is_max(tie_measure)

tie_is_min(tie_measure)

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
tie_measure	An object created by a tie_ measure.

Functions

• tie_is_multiple(): Returns logical of which ties are multiples

• tie_is_loop(): Returns logical of which ties are loops

• tie_is_reciprocated(): Returns logical of which ties are mutual/reciprocated

• tie_is_bridge(): Returns logical of which ties cut or act as articulation points in a network.

• tie_is_max(): Returns logical of which ties hold the maximum of some measure

• tie_is_min(): Returns logical of which ties hold the minimum of some measure

See Also

Other marks: is(), mark_nodes

Examples

tie_is_multiple(ison_marvel_relationships)
tie_is_loop(ison_marvel_relationships)
tie_is_reciprocated(ison_algebra)
tie_is_bridge(ison_brandes)
tie_is_max(tie_betweenness(ison_brandes))
tie_is_min(tie_betweenness(ison_brandes))

migraph documentation built on Nov. 2, 2023, 5:47 p.m.