symMat: Symmetrize an adjacency matrix

In SNAnalyst/DF21: SNA functions and dataset for Data Forensics 2021-2022

Symmetrize an adjacency matrix

Description

Function to symmetrize an adjacency matrix in several ways

Usage

symMat(g, rule = "weak", na.rm = TRUE)

Arguments

g	a suqare numeric matrix, need not be binary
rule	the rule used to determine how to symmetrize out outgoing ties (upper triangle of the adjacency matrix) are copied exactly. What is sent is reciprocated. Technically: the upper triangle is copied over the lower triangle. in ingoing ties (lower triangle of the adjacency matrix) are copied exactly. What is received is reciprocated. Technically: the lower triangle is copied over the upper triangle. weak if i -> j AND/OR j -> i, the tie becomes reciprocated mutual only reciprocated ties are maintained average the average value of ij and ji is returned (na.rm is used) max the max value of ij and ji is returned (na.rm is used) min the min value of ij and ji is returned (na.rm is used)
na.rm	how to deal with missings, default is TRUE

Details

Symmetrizes a square matrix. There is a choice of several methods to do this.

Value

the symmetrized matrix

Examples

g = matrix(sample(c(0,1), 25, replace = TRUE), nrow = 5)
symMat(g, "weak")
symMat(g, "mutual")
g = matrix(runif(25), nrow = 5)
diag(g) <- 0
symMat(g, "average")

SNAnalyst/DF21 documentation built on March 21, 2022, 12:02 a.m.