# max_outdegree()#

relationalai.std.graphs.Compute
``````#max_outdegree() -> Expression
``````

Compute the maximum outdegree of all nodes in a graph. In a directed graph, the outdegree of a node is the number of edges that point away from the node. For an undirected graph, `.max_outdegree()` is an alias of `.max_degree()`. Must be called in a rule or query context.

## Supported Graph Types#

Graph TypeSupportedNotes
DirectedYes
UndirectedYes
WeightedYesWeights are ignored.
UnweightedYes

## Returns#

Returns an Expression object that produces the maximum outdegree of the graph as an integer value.

## Example#

Use `.max_outdegree()` to compute the maximum outdegree of a graph. You access the `.max_outdegree()` method from a `Graph` object’s `.compute` attribute:

``````#import relationalai as rai
from relationalai.std.graphs import Graph

# Create a model named "socialNetwork" with a Person type
model = rai.Model("socialNetwork")
Person = model.Type("Person")

# Add some people to the graph and connect them with a 'friends' property.
with model.rule():
alice.friends.extend([bob, carol])

# Create an undirected graph with Person nodes and edges between friends.
# This graph has two edges: one between Alice and Bob and one between Alice and Carol.
graph = Graph(model, undirected=True)
graph.Node.extend(Person)
graph.Edge.extend(Person.friends)

# Compute the minimum outdegree of the graph.
with model.query() as select:
max_outdegree = graph.compute.max_outdegree()
response = select(max_outdegree)

print(response.results)
# Output:
#    v
# 0  1
``````

In undirected graphs, `.max_outdegree()` is the same as `.max_degree()`.