defineSBM function

Define a network

defineSBM(
  netMat,
  model = "bernoulli",
  type = ifelse(ncol(netMat) == nrow(netMat), "simple", "bipartite"),
  directed = !isSymmetric(netMat),
  dimLabels = c(row = "row", col = "col"),
  covariates = list()
)

Arguments

• netMat: a matrix describing the network: either an adjacency (square) or incidence matrix with possibly weighted entries.
• model: character describing the model for the relation between nodes ('bernoulli', 'poisson', 'gaussian', ...). Default is 'bernoulli'.
• type: Type of the matrix, choice between 'simple' and 'bipartite'
• directed: logical: is the network directed or not? Only relevant when type is 'Simple'. Default is TRUE if netMat is symmetric, FALSE otherwise
• dimLabels: an optional vector of labels for each dimension (in row, in column). Default value = c('row' = row,'col'= col)
• covariates: a list of matrices with same dimension as mat describing covariates at the edge level. No covariate per Default.

Returns

an object SimpleSBM or BipartiteSBM with the informations required to define a future multipartite network

Examples

A <- matrix(rbinom(100,1,.2), 10, 10)
myNet <- defineSBM(A, "poisson", "simple", TRUE, "Actor")