gen_adjmat: Generate a network edge probability matrix and a random...
In zhifeiyan/bfcluster: Birkhoff-Fan Clustering

Generate a network edge probability matrix from a specified network model with community structure and a random adjacency matrix

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gen_adjmat(n, k, sizes = NULL, B = NULL, p_min, p_max, q_min, q_max,
  type = c("plantedsbm", "sbm", "assortative"), self_loop = FALSE,
  perm = FALSE)

`n`	the number of nodes
`k`	the number of communities
`sizes`	a vector of community sizes
`B`	a matrix of community-wise edge probabilities. Ff supplied, it overrides `p_min`, `p_max`, `q_min`, `q_max`, and `type` arguments.
`p_min`	the minimum within-community edge probability
`p_max`	the maximum within-community edge probability. It has no effect if argument `type` is "plantedsbm".
`q_min`	the minimum between-community edge probability. It has no effect if argument `type` is "plantedsbm".
`q_max`	the maximum between-community edge probability
`type`	type of network model. It has to be "plantedsbm", "sbm", or "assortative". It has no effect if argument `B` is supplied.
`self_loop`	a logical indicating whether to allow self loops in the network
`perm`	a logical indicating whether to randomly permute the generated edge probability matrix, random adjacency matrix, membership matrix, and label

A list with the following components:

`adjmat`	a random adjacency matrix if `sample` is TRUE
`probmat`	a network edge probability matrix
`membermat`	the membership matrix according to node labels
`label`	the label vector of nodes