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(...)

graph

The input graph.

types

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.

edges

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, accoding to the supplied `types`

vector.

directed

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`

.

`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.

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 tha
`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`

.

`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

```
# NOT RUN {
g <- make_bipartite_graph( rep(0:1,length=10), c(1:10))
print(g, v=TRUE)
# }
```

Run the code above in your browser using DataLab