Create graphs from a bipartite adjacency matrix

graph.incidence() was renamed to graph_from_biadjacency_matrix() to create a more consistent API.

Usage

graph.incidence(
  incidence,
  directed = FALSE,
  mode = c("all", "out", "in", "total"),
  multiple = FALSE,
  weighted = NULL,
  add.names = NULL
)

Arguments

incidence: The input bipartite adjacency matrix. It can also be a sparse matrix from the Matrix package.
directed: Logical scalar, whether to create a directed graph.
mode: A character constant, defines the direction of the edges in directed graphs, ignored for undirected graphs. If ‘out’, then edges go from vertices of the first kind (corresponding to rows in the bipartite adjacency matrix) to vertices of the second kind (columns in the incidence matrix). If ‘in’, then the opposite direction is used. If ‘all’ or ‘total’, then mutual edges are created.
multiple: Logical scalar, specifies how to interpret the matrix elements. See details below.
weighted: This argument specifies whether to create a weighted graph from the bipartite adjacency matrix. If it is NULL then an unweighted graph is created and the multiple argument is used to determine the edges of the graph. If it is a character constant then for every non-zero matrix entry an edge is created and the value of the entry is added as an edge attribute named by the weighted argument. If it is TRUE then a weighted graph is created and the name of the edge attribute will be ‘weight’.
add.names: A character constant, NA or NULL. graph_from_biadjacency_matrix() can add the row and column names of the incidence matrix as vertex attributes. If this argument is NULL (the default) and the bipartite adjacency matrix has both row and column names, then these are added as the ‘name’ vertex attribute. If you want a different vertex attribute for this, then give the name of the attributes as a character string. If this argument is NA, then no vertex attributes (other than type) will be added.