centrality_voterank: VoteRank Centrality

In cograph: Analysis and Visualization of Complex Networks

VoteRank Centrality

Description

Identifies influential spreaders via an iterative voting mechanism. Returns normalized rank (1 = most influential). Based on Zhang et al. (2016).

Usage

centrality_voterank(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 VoteRank values.

See Also

centrality for computing multiple measures at once.

Examples

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

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