delete_vertices: Fast Version of network::delete.vertices for...

In tergmLite: Fast Simulation of Simple Temporal Exponential Random Graph Models

Fast Version of network::delete.vertices for Edgelist-formated Network

Description

Given a current two-column matrix of edges and a vector of IDs to delete from the matrix, this function first removes any rows of the edgelist in which the IDs are present and then permutes downward the index of IDs on the edgelist that were numerically larger than the IDs deleted.

Usage

delete_vertices(el, vid)

Arguments

el	A two-column matrix of current edges (edgelist) with an attribute variable n containing the total current network size.
vid	A vector of IDs to delete from the edgelist.

Details

This function is used in EpiModel modules to remove vertices (nodes) from the edgelist object to account for exits from the population (e.g., deaths and out-migration)

Value

Returns a updated edgelist object, el, with the edges of deleted vertices removed from the edgelist and the ID numbers of the remaining edges permuted downward.

Examples

## Not run: 
library("EpiModel")
set.seed(12345)
nw <- network_initialize(100)
formation <- ~edges
target.stats <- 50
coef.diss <- dissolution_coefs(dissolution = ~offset(edges), duration = 20)
x <- netest(nw, formation, target.stats, coef.diss, verbose = FALSE)

param <- param.net(inf.prob = 0.3)
init <- init.net(i.num = 10)
control <- control.net(type = "SI", nsteps = 100, nsims = 5, tergmLite = TRUE)

# Set seed for reproducibility
set.seed(123456)

# networkLite representation structure after initialization
dat <- crosscheck.net(x, param, init, control)
dat <- initialize.net(x, param, init, control)

# Current edges
head(dat$el[[1]], 20)

# Remove nodes 1 and 2
nodes.to.delete <- 1:2
dat$el[[1]] <- delete_vertices(dat$el[[1]], nodes.to.delete)

# Newly permuted edges
head(dat$el[[1]], 20)

## End(Not run)

tergmLite documentation built on July 20, 2022, 5:06 p.m.