get_adjacency: get_adjacency

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

get_adjacency

Description

A fct that build an adjacency matrix from a list of edges.

Usage

get_adjacency(edges, type = c("unipartite", "bipartite"), directed = FALSE)

Arguments

edges	Can be a table which is a list pair of nodes (nodes ids are one the two first columns) a numerical third column can be associated will be the connections values.
type	network type can be ''bipartite'‘ or '’unipartite''
directed	whether or not connections are directed ('TRUE') or symmetrical ('FALSE') (default is set to 'TRUE')

Value

an adjacency/incidence matrix (data.frame) representing the network

Examples

# For unipartite network
data_uni <- FungusTreeNetwork$networks$tree_tree

# If the network is symmetric:
my_mat <- get_adjacency(data_uni$edges,
  type = data_uni$type,
  directed = FALSE
)
# If the network is directed:
my_mat <- get_adjacency(data_uni$edges,
  type = data_uni$type,
  directed = TRUE
)

# For bipartite network
data_bi <- FungusTreeNetwork$networks$fungus_tree

my_mat <- get_adjacency(data_bi$edges, type = data_bi$type)

# In any case with a 2 columns data.frames the network is considered binary and each line is a 1.
binary_net <- FungusTreeNetwork$fungus_tree$edges[, -3]

my_mat <- get_adjacency(binary_net, type = data_bi$type)

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