met.lp.single: Symetric Laplacian centrality

In SebastianSosa/ANTs: Animal Network Toolkit Software

Symetric Laplacian centrality

Description

Calculate the symetric version of the Laplacian centrality for each verteces.

Usage

met.lp.single(M, df = NULL, dfid = NULL, binary = FALSE)

Arguments

M	a square adjacency matrix.
df	a data frame of same length of the input matrix.
dfid	an integer indicating the column of individual ids in argument df
binary	a boolean indicating if the binary version of the laplacian centrality has to be computed.

Details

Laplacian centrality is the drop in the Laplacian energy of the graph when the vertex is removed. This version uses the degrees (for the binary version ) or the strength (for the weigthed version) to calculate laplacian centrality.

Author(s)

Sebastian Sosa, Ivan Puga-Gonzalez.

References

REF laplacian !!!!!!!!!!!!!!!!

Sosa, S. (2018). Social Network Analysis, in: Encyclopedia of Animal Cognition and Behavior. Springer.

SebastianSosa/ANTs documentation built on Sept. 25, 2023, 11:06 p.m.