<｜begin▁of▁sentence｜>### Instruction:
As a machine learning engineer, you're tasked with designing and implementing machine learning algorithms for various data analytics and decision-making processes. Now, imagine you're working with a social network platform to analyze the connections between users. The platform provides you with a list of tuples representing the connections between users, and you need to calculate and print the maximum degree among all users, considering both incoming and outgoing connections, including any self-connections. This will help you gain insights into user engagement and influence within the network.
### Response:
from igraph import Graph

# Create the graph with the defined edges
g = Graph([(0, 1), (0, 2), (1, 2), (2, 3)])

# Calculate the maximum degree
max_degree = g.maxdegree(vertices=None, mode='all', loops=True)

# Print the maximum degree
print('The maximum degree of the graph is:', max_degree)
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