<｜begin▁of▁sentence｜>### Instruction:
Imagine you are the stage manager for a popular comedy club, and you are in charge of organizing the upcoming performances. You want to ensure that each comedian's routine is well-received, so you need to analyze the potential audience engagement. In this scenario, if the club decides to set up a network of interactions between the comedians, you could use the networkx library to represent the connections between them. If there are no planned interactions (edges) between comedians, you would want to determine the maximum number of other comedians that each performer is connected to (maximum degree of a node). This information is crucial for scheduling the performances and ensuring a diverse lineup.
### Response:
import networkx as nx

# Create an empty graph
g = nx.Graph()

# Use safemax to get the maximum degree in the graph
# If the graph is empty, it will return the default value 0
max_degree = safemax(g.degree(), 0)
print('The maximum degree of the graph is:', max_degree)
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