cnet: Complex network analysis

In somspace: Spatial Analysis with Self-Organizing Maps

Complex network analysis

Description

cnet plots the canonical network map of a single classification scheme.

Usage

cnet(x, n, thres)

Arguments

x	regs object.
n	number of regions.
thres	the cross-correlation threshold of the network.

Details

The cnet function estimates the cross-correlation matrix of the average time series of each region and plots a map linking the regions with cross-correlations above the selected threshold.

Value

plot object

Examples

dummy <- owda[Time <= 1600]
inp_som <- sominp(dummy)
my_som <- somspa(inp_som, rlen = 100, grid = somgrid(3, 3, "hexagonal"))
my_regions <- somregs(my_som, nregions = 6) 
cnet(my_regions, n = 5, thres = 0.2)

somspace documentation built on April 29, 2023, 1:11 a.m.