These functions offer methods for summarising the closure in configurations in one-, two-, and three-mode networks:
net_reciprocity() measures reciprocity in a (usually directed) network.
node_reciprocity() measures nodes' reciprocity.
net_transitivity() measures transitivity in a network.
node_transitivity() measures nodes' transitivity.
net_equivalency() measures equivalence or reinforcement
in a (usually two-mode) network.
net_congruency() measures congruency across two two-mode networks.
net_by_reciprocity(.data, method = "default")
node_by_reciprocity(.data)
net_by_transitivity(.data)
node_by_transitivity(.data)
net_by_equivalency(.data)
node_by_equivalency(.data)
net_by_congruency(.data, object2)A network object of class mnet, igraph, tbl_graph, network, or similar.
For more information on the standard coercion possible,
see manynet::as_tidygraph().
For reciprocity, either default or ratio.
See ?igraph::reciprocity
Optionally, a second (two-mode) matrix, igraph, or tidygraph
For one-mode networks, shallow wrappers of igraph versions exist via
net_reciprocity and net_transitivity.
For two-mode networks, net_equivalency calculates the proportion of three-paths in the network
that are closed by fourth tie to establish a "shared four-cycle" structure.
For three-mode networks, net_congruency calculates the proportion of three-paths
spanning two two-mode networks that are closed by a fourth tie to establish a
"congruent four-cycle" structure.
The net_by_equivalency() function calculates the Robins and Alexander (2004)
clustering coefficient for two-mode networks.
Note that for weighted two-mode networks, the result is divided by the average tie weight.
Robins, Garry L, and Malcolm Alexander. 2004. Small worlds among interlocking directors: Network structure and distance in bipartite graphs. Computational & Mathematical Organization Theory 10(1): 69–94. doi:10.1023/B:CMOT.0000032580.12184.c0 .
Knoke, David, Mario Diani, James Hollway, and Dimitris C Christopoulos. 2021. Multimodal Political Networks. Cambridge University Press. Cambridge University Press. doi:10.1017/9781108985000
Other measures:
measure_assortativity,
measure_breadth,
measure_brokerage,
measure_central_between,
measure_central_close,
measure_central_degree,
measure_central_eigen,
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
net_by_reciprocity(ison_southern_women)
#> [1] 1
node_by_reciprocity(to_unweighted(ison_networkers))
#> ▁▁▁▁▁▂▃▃
#> `Lin Freeman` `Doug White` `Ev Rogers` `Richard Alba` `Phipps Arabie`
#> 1 0.935 0.75 1 0.944 0.286
#> # ... and 27 more values from this nodeset. Use `print_all(...)` to print all values.
net_by_transitivity(ison_adolescents)
#> [1] 0.45
node_by_transitivity(ison_adolescents)
#> ▂▃▂▂▂
#> Betty Sue Alice Jane Dale Pam Carol Tina
#> 1 NaN 0.333 0.5 1 0.667 0.333 0 NaN
net_by_equivalency(ison_southern_women)
#> [1] 0.468
# node_by_equivalency(ison_southern_women)