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Neighborhood Connectivity

Source: R/centrality-batch7.R
centrality_neighborhood_connectivity.Rd

Mean degree of a node's neighbors (Maslov & Sneppen 2002), the "average neighbor degree" reported by Cytoscape: $$C_{NC}(i) = \frac{1}{k_i} \sum_{j \in N(i)} k_j.$$ High values mark nodes attached to hubs. Isolates score 0. Under mode = "out" the out-neighbors' out-degrees are averaged, under "in" the in-neighbors' in-degrees.

Usage

centrality_neighborhood_connectivity(x, mode = "all", ...)

Arguments

x

Network input (matrix, igraph, network, cograph_network, tna object).

mode

For directed networks: "all" (default), "out" (distances along out-edges), or "in".

...

Additional arguments passed to centrality.

Value

Named numeric vector, one value per node.

References

Maslov, S., & Sneppen, K. (2002). Specificity and stability in topology of protein networks. Science, 296(5569), 910-913.

See also

centrality_degree, and igraph::knn() for the Barrat weighted generalization.

Examples

star5 <- matrix(0, 5, 5)
star5[1, 2:5] <- 1; star5[2:5, 1] <- 1
rownames(star5) <- colnames(star5) <- LETTERS[1:5]
centrality_neighborhood_connectivity(star5)
#> A B C D E 
#> 1 4 4 4 4