These functions include ways to measure nodes' brokerage activity and exclusivity in a network:
node_by_brokering_activity() measures nodes' brokerage activity.
node_by_brokering_exclusivity() measures nodes' brokerage exclusivity.
node_by_brokering_activity(.data, membership)
node_by_brokering_exclusivity(.data, membership)A network object of class mnet, igraph, tbl_graph, network, or similar.
For more information on the standard coercion possible,
see manynet::as_tidygraph().
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_measure numeric vector the length of the nodes in the network,
providing the scores for each node.
If the network is labelled,
then the scores 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 measures:
measure_assort_net,
measure_assort_node,
measure_breadth,
measure_broker_node,
measure_broker_tie,
measure_central_between,
measure_central_close,
measure_central_degree,
measure_central_eigen,
measure_centralisation_between,
measure_centralisation_close,
measure_centralisation_degree,
measure_centralisation_eigen,
measure_centralities_between,
measure_centralities_close,
measure_centralities_degree,
measure_centralities_eigen,
measure_closure,
measure_closure_node,
measure_cohesion,
measure_core,
measure_diffusion_infection,
measure_diffusion_net,
measure_diffusion_node,
measure_diverse_net,
measure_diverse_node,
measure_features,
measure_fragmentation,
measure_hierarchy,
measure_periods
Other nodal:
mark_core,
mark_degree,
mark_diff,
mark_nodes,
mark_select_node,
measure_assort_node,
measure_broker_node,
measure_central_between,
measure_central_close,
measure_central_degree,
measure_central_eigen,
measure_closure_node,
measure_core,
measure_diffusion_node,
measure_diverse_node,
member_brokerage,
member_cliques,
member_community,
member_community_hier,
member_community_non,
member_components,
member_core,
member_diffusion,
member_equivalence,
motif_brokerage_node,
motif_exposure,
motif_node,
motif_path
Other brokerage:
measure_broker_node,
measure_broker_tie,
member_brokerage,
motif_brokerage_net,
motif_brokerage_node
node_by_brokering_exclusivity(ison_networkers, "Discipline")
#> █▁▁▁▁▁
#> `Lin Freeman` `Doug White` `Ev Rogers` `Richard Alba` `Phipps Arabie`
#> 1 1 0 0 0 0
#> # ... and 27 more values from this nodeset. Use `print_all(...)` to print all values.