centrality_current_flow_closeness: Current Flow Closeness Centrality

In cograph: Analysis and Visualization of Complex Networks

Current Flow Closeness Centrality

Description

Information centrality based on electrical current flow through the network. Uses the pseudoinverse of the Laplacian matrix. Requires a connected graph.

Usage

centrality_current_flow_closeness(x, ...)

Arguments

x	Network input (matrix, igraph, network, cograph_network, tna object).
...	Additional arguments passed to centrality (e.g., weighted, directed).

Value

Named numeric vector of current flow closeness values.

See Also

centrality for computing multiple measures at once, centrality_closeness for the shortest-path variant.

Examples

adj <- matrix(c(0, 1, 1, 1, 0, 1, 1, 1, 0), 3, 3)
rownames(adj) <- colnames(adj) <- c("A", "B", "C")
centrality_current_flow_closeness(adj)

cograph documentation built on April 1, 2026, 1:07 a.m.