node_in_brokering() returns nodes membership as a powerhouse,
connector, linchpin, or sideliner according to Hamilton et al. (2020).
node_in_brokering(.data, membership)A network object of class stocnet, igraph, tbl_graph, network, or similar.
Internally any of these will be coerced to an efficient implementation.
For more information on possible coercions, see e.g. manynet::as_stocnet().
A character string naming an existing node attribute in
the network, or a categorical vector of the same length as the number of
nodes in the network where each element indicates the group membership of
the corresponding node.
While this may often be a vector created using node_in_*() functions,
it can be any character vector that assigns nodes to groups or categories.
A node_member character vector the length of the nodes in the network,
of group memberships "A", "B", etc for each node.
If the network is labelled,
then the assignments will be labelled with the nodes' names.
Hamilton, Matthew, Jacob Hileman, and Orjan Bodin. 2020. "Evaluating heterogeneous brokerage: New conceptual and methodological approaches and their application to multi-level environmental governance networks" Social Networks 61: 1-10. doi:10.1016/j.socnet.2019.08.002
Other brokerage:
measure_broker_node,
measure_broker_tie,
measure_brokerage,
motif_brokerage_net,
motif_brokerage_node
Other memberships:
member_cliques,
member_community,
member_community_hier,
member_community_non,
member_components,
member_core,
member_diffusion,
member_equivalence
Other nodal:
mark_core,
mark_degree,
mark_diff,
mark_nodes,
mark_select_node,
measure_assort_node,
measure_broker_node,
measure_brokerage,
measure_central_between,
measure_central_close,
measure_central_degree,
measure_central_eigen,
measure_closure_node,
measure_core,
measure_diffusion_node,
measure_diverse_node,
member_cliques,
member_community,
member_community_hier,
member_community_non,
member_components,
member_core,
member_diffusion,
member_equivalence,
motif_brokerage_node,
motif_clique,
motif_composition,
motif_exposure,
motif_node,
motif_path
node_in_brokering(ison_networkers, "Discipline")
#> 3 groups
#> `Lin Freeman` `Doug White` `Ev Rogers` `Richard Alba` `Phipps Arabie`
#> 1 Powerhouse Connectors Sideliners Sideliners Sideliners
#> # ... and 27 more values from this nodeset. Use `print_all(...)` to print all values.