SDDE (version 1.0.0)

sample_network: compares two networks using a path analysis of total pathways

Description

This function allows the user to compare two related networks (undirected graphs) by computing the number of paths of each category for a sample of nodes from the original graph.

Usage

sample_network(g1,g2,
					   size, 
					   taxnames,
					   maxdistance=0, 
					   maxtime=3600,
					   maxnode=0, 
					   verbose=FALSE, 
					   file='log.txt', 
					   maxcores=1, 
					   node1, 
					   node2,
					   sample_paths=c(),
					   old_path=c()
					)

Arguments

g1

the original network X

g2

the augmented network Y with additional nodes (all the original nodes from X must be present in the augmented network Y)

taxnames

the taxon name of the nodes added to the original graph (default: we select all nodes that are not in g1)

size

the number of pathways to sample or the percent of node to sample if smaller than 1.0 (default=10)

maxnode

the maximum number of augmented nodes in network Y to take into account (default=0, no maximum number of augmented nodes to take into account. The augmented nodes are sorted by distance to the investigated node pairs by the algorithm.)

maxtime

the maximum search time per pathway (default=3600 seconds)

maxdistance

the maximum search distance to the added nodes in network Y (default=0, no maximum distance for augmented nodes to take into account)

verbose

flag to save into a file additionnal informations regarding the obtained paths (default=FALSE, the file name should be indicated)

file

filename to save the additionnal informations

node1

if node1 is set,we look only for paths starting from node1

node2

if node2 is set, we will only look at the paths starting at node1 and ending at node2

maxcores

maximum number of cores to use (default=1, use 0 to use half of the total cores available)

sample_paths

vector containing a list of node numbers to sample. Note: this override the size argument

old_path

vector containing a list of node numbers already sampled

Value

• This function returns the number of paths of each category: Shortcuts, Detours, Dead ends, Equal paths or disconnected nodes. If not all augmented nodes are visited because of the maxnode, maxtime or maxdistance limits, a path can also be classified as 'Detour or Dead End'.

encoding

ISO-8859-2

Examples

## Sample 10 of the 55 pathways in Sample_1
	data(Sample_1)   
	sample_network(g1,g2, size=10)
	## Repeated sampling (5) of 10 pathways 
	old_path <- c()
	for (i in 1:5) {
       sample_paths <- sample_path(10, length(V(g1)), old_path=old_path);
       sample_network(g1,g2, sample_paths=sample_paths);
       old_path <- c(old_path,sample_paths); 
	 }