rg_reshuffling_l: Reshuffling a longitudinal network

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

Description

This function reshuffles a longitudinal dataset.

Usage

rg_reshuffling_l(net, keep.i = FALSE, keep.j = FALSE, seed = NULL)

Arguments

net	Longitudinal network
keep.i	Whether or not the tie creators should be maintained
keep.j	Whether or not the tie receivers should be maintained
seed	the random seed. If you want it to have reproducable result, set using an integer

Value

Returns a reshuffled longitudinal network

Note

version 1.0.0

Author(s)

Tore Opsahl; http://toreopsahl.com

References

[e-mail]

Examples

t <- c('2007-09-12 13:45:00', 
'2007-09-12 13:46:31',
'2007-09-12 13:47:54',
'2007-09-12 13:48:21',
'2007-09-12 13:49:27',
'2007-09-12 13:58:14',
'2007-09-12 13:52:17',
'2007-09-12 13:56:59');
i <- c(1,1,1,1,1,1,1,1);
j <- c(2,2,2,2,2,2,3,3);
w <- c(1,1,1,1,1,1,1,1);
sample <- data.frame(t, i, j, w);

rg_reshuffling_l(sample)

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.
                     t i j w
1  2007-09-12 13:45:00 1 1 1
2  2007-09-12 13:45:00 2 2 1
3  2007-09-12 13:45:00 2 1 1
4  2007-09-12 13:46:31 2 1 1
5  2007-09-12 13:47:54 2 1 1
6  2007-09-12 13:48:21 2 1 1
7  2007-09-12 13:49:27 1 2 1
8  2007-09-12 13:52:17 3 3 1
9  2007-09-12 13:52:17 1 2 1
10 2007-09-12 13:56:59 2 1 1
11 2007-09-12 13:58:14 2 3 1
Warning message:
In as.tnet(net, type = "longitudinal tnet") : Adding node joining data

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