gns: Global Network Sparsification

In simplifyNet: Network Sparsification

Global Network Sparsification

Description

Remove all edges under certain edge weight threshold.

Usage

gns(network, remove.prop, cutoff, directed = FALSE)

Arguments

network	Weighted adjacency matrix, weighted igraph network, or edge list formatted | n1 | n2 | weight | with colnames c("n1", "n2", "weight").
remove.prop	The proportion of highest weighted edges to retain. A value between 0 and 1.
cutoff	Threshold value for edge weight thresholding.
directed	If TRUE, specifies that the inputted network is directed. Default is FALSE.

Value

Edge list of sparsified network

Author(s)

Andrew Kramer

Alexander Mercier

Examples

#Generate random ER graph with uniformly random edge weights
g = igraph::erdos.renyi.game(100, 0.1)
igraph::E(g)$weight <- runif(length(igraph::E(g)))
#Sparsify g via GNS
S = gns(g, remove.prop = 0.5)
sg = simplifyNet::net.as(S, net.to="igraph", directed=FALSE)
igraph::ecount(sg)/igraph::ecount(g)#fraction of edges in the sparsifier

simplifyNet documentation built on Nov. 15, 2022, 5:05 p.m.