A bipartite graph has two kinds of vertices and connections are only allowed between different kinds.
is_bipartite(graph)make_bipartite_graph(types, edges, directed = FALSE)
bipartite_graph(...)
make_bipartite_graph
returns a bipartite igraph graph. In other
words, an igraph graph that has a vertex attribute named type
.
is_bipartite
returns a logical scalar.
The input graph.
A vector giving the vertex types. It will be coerced into
boolean. The length of the vector gives the number of vertices in the graph.
When the vector is a named vector, the names will be attached to the graph
as the name
vertex attribute.
A vector giving the edges of the graph, the same way as for the
regular graph
function. It is checked that the edges indeed
connect vertices of different kind, according to the supplied types
vector. The vector may be a string vector if types
is a named vector.
Whether to create a directed graph, boolean constant. Note that by default undirected graphs are created, as this is more common for bipartite graphs.
Passed to make_bipartite_graph
.
Gabor Csardi csardi.gabor@gmail.com
Bipartite graphs have a type
vertex attribute in igraph, this is
boolean and FALSE
for the vertices of the first kind and TRUE
for vertices of the second kind.
make_bipartite_graph
basically does three things. First it checks the
edges
vector against the vertex types
. Then it creates a graph
using the edges
vector and finally it adds the types
vector as
a vertex attribute called type
. edges
may contain strings as
vertex names; in this case, types
must be a named vector that specifies
the type for each vertex name that occurs in edges
.
is_bipartite
checks whether the graph is bipartite or not. It just
checks whether the graph has a vertex attribute called type
.
graph
to create one-mode networks
g <- make_bipartite_graph(rep(0:1, length.out=10), c(1:10))
print(g, v=TRUE)
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