centrality_lac: Local Average Connectivity (LAC)

In cograph: Analysis and Visualization of Complex Networks

Local Average Connectivity (LAC)

Description

Average degree of neighbors within the neighborhood subgraph. Measures how interconnected a node's neighbors are. Proposed by Li et al. (2011) for identifying essential proteins in PPI networks.

Usage

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

Arguments

x	Network input (matrix, igraph, network, cograph_network, tna object).
mode	For directed networks: "all" (default), "in", or "out".
...	Additional arguments passed to centrality (e.g., normalized, weighted, directed).

Value

Named numeric vector of LAC values.

References

Li, M., Wang, J., Chen, X., Wang, H., & Pan, Y. (2011). A local average connectivity-based method for identifying essential proteins from the network level. Computational Biology and Chemistry, 35(3), 143-150.

See Also

centrality for computing multiple measures at once, centrality_dmnc for another neighborhood density measure.

Examples

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

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