centrality_eigenvector: Eigenvector Centrality

In cograph: Analysis and Visualization of Complex Networks

Eigenvector Centrality

Description

Influence-based centrality where a node's score depends on the scores of its neighbors. Nodes connected to other high-scoring nodes get higher scores.

Usage

centrality_eigenvector(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 eigenvector centrality values.

See Also

centrality for computing multiple measures at once, centrality_pagerank for a random walk 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_eigenvector(adj)

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