These functions include ways to measure nodes' brokerage activity and exclusivity in a network:
node_brokering_activity() measures nodes' brokerage activity.
node_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 vector of partition membership as integers.
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_assortativity,
measure_breadth,
measure_central_between,
measure_central_close,
measure_central_degree,
measure_central_eigen,
measure_closure,
measure_cohesion,
measure_diffusion_infection,
measure_diffusion_net,
measure_diffusion_node,
measure_features,
measure_fragmentation,
measure_heterogeneity,
measure_hierarchy,
measure_holes,
measure_periods,
member_diffusion
Other brokerage:
member_brokerage,
motif_brokerage
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.