symmetrise_w: Symmetrise_w

In tnet: Weighted, Two-Mode, and Longitudinal Networks Analysis

Description

The symmetrise_w-function creates an undirected one-mode network from a directed one-mode network.

Usage

symmetrise_w(net, method="MAX")

Arguments

net

A one-mode network

method

the method used to decide the weight of the undirected edge. It can be: "MAX" sets the weight to the maximum of the weight(s) of the arc(s) "MIN" sets the weight to the minimumof the weight(s) of the arc(s) "AMEAN" sets the weight to the average (arithmetic mean) of the weight(s) of the arc(s) "SUM" sets the weight to the sum of the weight(s) of the arc(s) "PROD" sets the weight to the product of the weight(s) of the arc(s) "DIFF" sets the weight to the absolute difference between the weight(s) of the arc(s)

Value

Returns the undirected network

Note

version 1.0.0

Author(s)

Tore Opsahl; http://toreopsahl.com

References

http://toreopsahl.com/2008/11/28/network-weighted-network/

Examples

## Load sample data
sample <- rbind(
c(1,2,2),
c(1,3,2),
c(2,1,4),
c(2,3,4),
c(2,4,1),
c(2,5,2),
c(3,1,2),
c(3,2,4),
c(5,2,2),
c(5,6,1))

## Run the programme
symmetrise_w(sample, method="MAX")

Example output

Loading required package: igraph

Attaching package: 'igraph'

The following objects are masked from 'package:stats':

    decompose, spectrum

The following object is masked from 'package:base':

    union

Loading required package: survival
tnet: Analysis of Weighted, Two-mode, and Longitudinal networks.
Type ?tnet for help.
      i j w
 [1,] 1 2 4
 [2,] 1 3 2
 [3,] 2 1 4
 [4,] 2 3 4
 [5,] 2 4 1
 [6,] 2 5 2
 [7,] 3 1 2
 [8,] 3 2 4
 [9,] 4 2 1
[10,] 5 2 2
[11,] 5 6 1
[12,] 6 5 1

tnet documentation built on Feb. 25, 2020, 1:07 a.m.