devtools::load_all("..")
library(dplyr)
library(purrr)
library(igraph)
# Generate ----------------------------------------------------------------
set.seed(666)
# Generate graphs
d <- tibble(
# Nodeset sizes
vc = c(15, 30, 60, 120),
# Edgeset sizes
n = map(vc, ~ floor(seq(
0.1 * .x * (.x - 1) / 2,
0.2 * .x * (.x - 1) / 2,
length = 5
)))
) %>%
tidyr::unnest("n") %>%
mutate(
g = map2(vc, n, ~ sample_gnm(.x, .y, directed = FALSE)),
den = map_dbl(g, graph.density),
g6 = as_graph6(g),
s6 = as_sparse6(g)
) %>%
tidyr::pivot_longer(
one_of('g6', 's6'),
names_to = "type",
values_to = "value"
) %>%
mutate(
nch = nchar(value)
)
# Visualize ---------------------------------------------------------------
if(FALSE) {
# Size by density and vcount
d %>%
ggplot(aes(x=den, y = nch, group = interaction(type, vc), color = type)) +
geom_point() +
geom_line() +
scale_y_log10()
}
# Save --------------------------------------------------------------------
g6 <- with(d, value[type == "g6"])
usethis::use_data(g6, overwrite = TRUE)
s6 <- with(d, value[type == "s6"])
usethis::use_data(s6, overwrite = TRUE)
d6 <- as_digraph6(lapply(with(d, g[type == "s6"]), as.directed, mode = "arbitrary"))
usethis::use_data(d6, overwrite = TRUE)
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