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brainGraph (version 3.1.0)

centr_lev: Calculate a vertex's leverage centrality

Description

Calculates the leverage centrality of each vertex in a graph.

Usage

centr_lev(g, A = NULL)

Value

A vector of the leverage centrality for all vertices.

Arguments

g

An igraph graph object

A

Numeric matrix; the adjacency matrix of the input graph. Default: NULL

Author

Christopher G. Watson, cgwatson@bu.edu

Details

The leverage centrality relates a vertex's degree with the degree of its neighbors. The equation is: $$l_i = \frac{1}{k_i} \sum_{j \in N_i} \frac{k_i - k_j}{k_i + k_j}$$ where \(k_i\) is the degree of the \(i^{th}\) vertex and \(N_i\) is the set of neighbors of i. This function replaces NaN with NA (for functions that have the argument na.rm).

References

Joyce, K.E. and Laurienti P.J. and Burdette J.H. and Hayasaka S. (2010) A new measure of centrality for brain networks. PLoS One, 5(8), e12200. tools:::Rd_expr_doi("10.1371/journal.pone.0012200")

See Also

Other Centrality functions: centr_betw_comm