Motifs of brokerage

Source: R/motif_census.R

These functions include ways to take a census of the brokerage positions of nodes in a network:

  • node_by_brokerage() returns the Gould-Fernandez brokerage roles played by nodes in a network.

  • net_by_brokerage() returns the Gould-Fernandez brokerage roles in a network.

  • node_brokering_activity() measures nodes' brokerage activity.

  • node_brokering_exclusivity() measures nodes' brokerage exclusivity.

node_by_brokerage(.data, membership, standardized = FALSE)

net_by_brokerage(.data, membership, standardized = FALSE)

node_brokering_activity(.data, membership)

node_brokering_exclusivity(.data, membership)

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

membership

A vector of partition membership as integers.

standardized

Whether the score should be standardized into a z-score indicating how many standard deviations above or below the average the score lies.

References

On brokerage motifs

Gould, Roger V., and Roberto M. Fernandez. 1989. “Structures of Mediation: A Formal Approach to Brokerage in Transaction Networks.” Sociological Methodology, 19: 89-126. doi:10.2307/270949

Jasny, Lorien, and Mark Lubell. 2015. “Two-Mode Brokerage in Policy Networks.” Social Networks 41:36–47. doi:10.1016/j.socnet.2014.11.005

On brokerage activity and exclusivity

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

See also

Other motifs: motif_diffusion, motif_net, motif_node

Examples

# node_by_brokerage(ison_networkers, "Discipline")
# net_by_brokerage(ison_networkers, "Discipline")
node_brokering_exclusivity(ison_networkers, "Discipline")
#>   `Lin Freeman` `Doug White` `Ev Rogers` `Richard Alba` `Phipps Arabie`
#> 1             1            0           0              0               0
#> # ... with 27 more values from this nodeset unprinted. Use `print(..., n = Inf)` to print all values.