context("Stochastic block models")
test_that("Generating stochastic block models works", {
library(igraph)
pm <- matrix(1, nrow=2, ncol=2)
bs <- c(4,6)
g1 <- sample_sbm(10, pref.matrix=pm, block.sizes=bs,
directed=FALSE, loops=FALSE)
expect_true(graph.isomorphic(g1, make_full_graph(10, directed=FALSE, loops=FALSE)))
g2 <- sample_sbm(10, pref.matrix=pm, block.sizes=bs,
directed=FALSE, loops=TRUE)
g2x <- make_full_graph(10, directed=FALSE, loops=TRUE)
expect_that(g2[sparse=FALSE], equals(g2x[sparse=FALSE]))
g3 <- sample_sbm(10, pref.matrix=pm, block.sizes=bs,
directed=TRUE, loops=FALSE)
g3x <- make_full_graph(10, directed=TRUE, loops=FALSE)
expect_that(g3[sparse=FALSE], equals(g3x[sparse=FALSE]))
g4 <- sample_sbm(10, pref.matrix=pm, block.sizes=bs,
directed=TRUE, loops=TRUE)
g4x <- make_full_graph(10, directed=TRUE, loops=TRUE)
expect_that(g4[sparse=FALSE], equals(g4x[sparse=FALSE]))
})
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