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Description of the simulated network edge weights function.
get_weights(network_df, wcr, bcr, bfcr = NA, fuzzy_comms = NA)a vector of edge weights associated with the node dyads from the network data frame
a data frame containing information about network nodes,
their community assignment, and all node dyads, coming from
simnet_df_perturb
within community edge weights, sampled from a beta distribution; for example, c(8,8) will ask for the within community edge weights to be sampled from a Beta(8,8) distribution
between community edge weights, sampled from a beta distribution; for example, c(1,8) will ask for the between community edge weights to be sampled from a Beta(1,8) distribution
fuzzy community edge weights, sampled from a beta distribution; for example, c(4,8) will ask for the fuzzy community edge weights to be sampled from a Beta (4,8) distribution
the communities for which their distinction is 'fuzzy,' or not as distinct; fuzzy communities tend to have higher between community edge weights; for example, c('comm_a','comm_c') will create a fuzzy distinction between communities a and c
This is an ancillary function that creates a vector of edge weights sampled
from Beta distributions. Within and between community edge weights are each
sampled from a distinct Beta distribution. If 'fuzzy' communities wish to be
created, a third Beta distribution is specified and the communities for which
their distinction is 'fuzzy' also needs to be specified. This vector of edge
weights is then passed to group_network_perturb to create the
final simulated network object.