MultipartiteSBM function

R6 Class definition of a Multipartite SBM

R6 Class definition of a Multipartite SBM

R6 Class definition of a Multipartite SBM

Super class

sbm::SBM -> MultipartiteSBM

Active bindings

• dimLabels: vector of characters giving the label of each connected dimension

• blockProp: list of two vectors of block proportions (aka prior probabilities of each block)

• connectParam: parameters associated to the connectivity of the SBM, e.g. matrix of inter/inter block probabilities when model is Bernoulli

• probMemberships: matrix of estimated probabilities for block memberships for all nodes

• nbBlocks: : vector with the number of blocks in each FG

• nbConnectParam: number of parameter used for the connectivity

• architecture: organization of the multipartite network

• nbNetworks: number of networks in the multipartite network

• memberships: list of size 2: vector of memberships in all parts of the network

• indMemberships: matrix for clustering memberships

Methods

Public methods

• list("MultipartiteSBM$new()")

• list("MultipartiteSBM$show()")

• list("MultipartiteSBM$print()")

• list("MultipartiteSBM$plot()")

• list("MultipartiteSBM$clone()")

Method new()

constructor for Multipartite SBM

Usage

MultipartiteSBM$new(
  model = character(0),
  architecture = matrix(NA, 0, 2),
  directed = logical(0),
  nbNodes = numeric(0),
  dimLabels = character(0),
  blockProp = list(),
  connectParam = list()
)

Arguments

• model: character describing the type of model

• architecture: a 2-column matrix describing interactions between the networks

• directed: vector of logical: are the network directed or not?

• nbNodes: number of nodes in each dimension/part of the network

• dimLabels: labels of each par of the network

• blockProp: parameters for block proportions (vector of list of vectors)

• connectParam: parameters of connectivity (vector of list of vectors)

Method show()

print method

Usage

MultipartiteSBM$show(type = "Multipartite Stochastic Block Model")

Arguments

• type: character to tune the displayed name

Method print()

print method

Usage

MultipartiteSBM$print()

Method plot()

plot Multipartite Network

Usage

MultipartiteSBM$plot(
  type = c("data", "expected", "meso"),
  ordered = TRUE,
  plotOptions = list()
)

Arguments

• type: character for the type of plot: either 'data' (true connection), 'expected' (fitted connection) or 'meso' (mesoscopic view). Default to 'data'.

• ordered: TRUE is the matrices are plotted after reorganization with the blocks. Default value = TRUE

• plotOptions: list of plot options for the mesoscopic view or matrix view

Method clone()

The objects of this class are cloneable with this method.

Usage

MultipartiteSBM$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.