measure_cohesion: Measures of network cohesion

In netrics: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties

Measures of network cohesion

Description

These functions return values or vectors relating to how cohesive a network is:

• net_by_density() measures the ratio of ties to the number of possible ties.

• net_by_components() measures the number of (strong) components in the network.

• net_by_independence() measures the independence number, or size of the largest independent set in the network.

Usage

net_by_density(.data)

net_by_components(.data)

net_by_independence(.data)

Arguments

.data

A network object of class mnet, igraph, tbl_graph, network, or similar. For more information on the standard coercion possible, see manynet::as_tidygraph().

Value

A network_measure numeric score.

Components

To get the 'weak' components of a directed graph, please use manynet::to_undirected() first.

See Also

Other cohesion: mark_triangles, measure_breadth, measure_fragmentation, motif_net, motif_node

Other measures: measure_assort_net, measure_assort_node, measure_breadth, measure_broker_node, measure_broker_tie, measure_brokerage, measure_central_between, measure_central_close, measure_central_degree, measure_central_eigen, measure_centralities_between, measure_centralities_close, measure_centralities_degree, measure_centralities_eigen, measure_closure, measure_closure_node, 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

Examples

net_by_density(ison_adolescents)
net_by_density(ison_southern_women)
  net_by_components(fict_thrones)
  net_by_components(to_undirected(fict_thrones))
net_by_independence(ison_adolescents)

netrics documentation built on July 24, 2026, 5:07 p.m.