random_lobster#
- random_lobster(n, p1, p2, seed=None, *, create_using=None)[source]#
Returns a random lobster graph.
A lobster is a tree that reduces to a caterpillar when pruning all leaf nodes. A caterpillar is a tree that reduces to a path graph when pruning all leaf nodes; setting
p2
to zero produces a caterpillar.This implementation iterates on the probabilities
p1
andp2
to add edges at levels 1 and 2, respectively. Graphs are therefore constructed iteratively with uniform randomness at each level rather than being selected uniformly at random from the set of all possible lobsters.- Parameters:
- nint
The expected number of nodes in the backbone
- p1float
Probability of adding an edge to the backbone
- p2float
Probability of adding an edge one level beyond backbone
- seedinteger, random_state, or None (default)
Indicator of random number generation state. See Randomness.
- create_usingGraph constructor, optional (default=nx.Grap)
Graph type to create. If graph instance, then cleared before populated. Multigraph and directed types are not supported and raise a
NetworkXError
.
- Raises:
- NetworkXError
If
p1
orp2
parameters are >= 1 because the while loops would never finish.