explore-comm.R
In nett: Network Analysis and Community Detection

## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
options(rmarkdown.html_vignette.check_title = FALSE)

## ----setup--------------------------------------------------------------------
library(nett)
library(Matrix)

## -----------------------------------------------------------------------------
set.seed(1)
n = 1000 # the number of nodes
Ktru = 4 # the number of true communties
lambda = 15 # the average degree
oir = 0.1 # the out-in ratio
pri = rep(1,Ktru)/Ktru
theta <- EnvStats::rpareto(n, 2/3, 3) # node conn. propensity parameter

B = pp_conn(n, oir, lambda, pri, theta)$B  # create connectivity matrix
z =  sample(Ktru, n, replace=T, prob=pri)  # sample node labels
A = sample_dcsbm(z, B, theta) # sample the adjacency matrix

## -----------------------------------------------------------------------------
mean(rowSums(A))

## -----------------------------------------------------------------------------
tstat = snac_resample(A, nrep = 10, ncores = 1)
plot_smooth_profile(tstat, "A DCPP network")