cograph (version 2.7.2)

centrality_expected_influence_2: 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", ...)

Value

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

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.

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)