network.list(object, ...)

## S3 method for class 'network.list'
print(x, stats.print = FALSE, ...)

## S3 method for class 'network.list'
summary(
  object,
  stats.print = TRUE,
  net.print = FALSE,
  net.summary = FALSE,
  ...
)

# Draw from a Bernoulli model with 16 nodes
# and tie probability 0.1
#
g.use <- network(16, density=0.1, directed=FALSE)
#
# Starting from this network let's draw 3 realizations
# of a model with edges and 2-star terms
#
g.sim <- simulate(~edges+kstar(2), nsim=3, coef=c(-1.8, 0.03),
               basis=g.use, control=control.simulate(
                 MCMC.burnin=100000,
                 MCMC.interval=1000))
print(g.sim)
summary(g.sim)