centrality_expected_influence_2: Expected Influence (two-step)

In cograph: Analysis and Visualization of Complex Networks

Expected Influence (two-step)

Description

Two-step signed-weight sum: a node's own expected influence (EI1) plus the weighted sum of its neighbors' EI1 (Robinaugh, Millner & McNally 2016). Captures both the node's direct influence and the influence it exerts indirectly via highly-connected neighbors.

Usage

centrality_expected_influence_2(x, mode = "out", ...)

Arguments

x	Network input (matrix, igraph, network, cograph_network, tna object).
mode	One of "all", "in", "out" for directed graphs. Default "out".
...	Additional arguments passed to centrality.

Value

Named numeric vector of two-step expected-influence values.

References

Robinaugh DJ, Millner AJ, McNally RJ (2016). Identifying highly influential nodes in the complicated grief network. Journal of Abnormal Psychology, 125(6), 747-757.

See Also

centrality_expected_influence_1 for the one-step variant.

Examples

W <- matrix(c( 0.0,  0.5, -0.3,  0.2,
               0.5,  0.0,  0.4, -0.1,
              -0.3,  0.4,  0.0,  0.6,
               0.2, -0.1,  0.6,  0.0), 4, 4, byrow = TRUE)
rownames(W) <- colnames(W) <- c("A", "B", "C", "D")
centrality_expected_influence_2(W)

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