centrality_participation: Participation Coefficient

In cograph: Analysis and Visualization of Complex Networks

Participation Coefficient

Description

Measures diversity of inter-community connections. Nodes connecting to many communities have high participation. Requires community membership.

Usage

centrality_participation(x, membership = NULL, mode = "all", ...)

Arguments

x	Network input (matrix, igraph, network, cograph_network, tna object).
membership	Integer vector of community assignments (one per node).
mode	For directed networks: "all" (default), "in", or "out".
...	Additional arguments passed to centrality.

Value

Named numeric vector of participation coefficient values (0-1).

See Also

centrality for computing multiple measures at once, centrality_within_module_z for within-community connectivity.

Examples

adj <- matrix(c(0,1,1,0,0, 1,0,1,0,0, 1,1,0,1,0, 0,0,1,0,1, 0,0,0,1,0), 5, 5)
rownames(adj) <- colnames(adj) <- LETTERS[1:5]
centrality_participation(adj, membership = c(1, 1, 1, 2, 2))

cograph documentation built on May 31, 2026, 5:06 p.m.