View source: R/5.topological.R
| rand_net_par | R Documentation |
Net_pars of many random network
Compare some indexes between your net with random networks
rand_net_par(go, reps = 99, threads = 1, verbose = TRUE)
compare_rand(
pars,
randp,
index = c("Average_path_length", "Clustering_coefficient")
)
go |
igraph |
reps |
simulation time |
threads |
threads |
verbose |
verbose |
pars |
your net pars resulted by net_pars() |
randp |
random networks pars resulted by rand_net_par() |
index |
compared indexes: "Average_path_length","Clustering_coefficient" or else |
ggplot
Other topological:
extract_sample_net(),
fit_power(),
get_group_skeleton(),
links_stat(),
nc(),
net_par(),
rand_net(),
smallworldness()
data("c_net")
rand_net_par(co_net_rmt, reps = 30) -> randp
net_par(co_net_rmt, fast = FALSE) -> pars
compare_rand(pars, randp)
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