In shinySbm: 'shiny' Application to Use the Stochastic Block Model

Data

• The network is r R$upload$Dataset$type
• The network nodes are made up of r ifelse(is_bipartite, paste(dim(R$upload$Dataset$matrix)[2],R$upload$labels$col,"in columns and",dim(R$upload$Dataset$matrix)[1], R$upload$labels$row,"in lines"), paste(dim(R$upload$Dataset$matrix)[2],R$upload$labels$col))
• Edges take r ifelse(R$upload$Dataset$law == "bernoulli", "binary (0 or 1)",ifelse(R$upload$Dataset$law == "poisson", "integers (0, 1, 2 , . .)", "real")) values r ifelse(is_bipartite,"",ifelse(R$upload$directed, "and are directed.", "and are symmetrical."))

shinySbm documentation built on Sept. 8, 2023, 5:06 p.m.