<｜begin▁of▁sentence｜>### Instruction:
Alright, imagine you're stepping into the gym and you've got a group of five dedicated fitness enthusiasts ready to partner up and support each other in a circuit training class. You want to ensure every person is equally engaged with each other, serving as the perfect spotter and motivator. This creates a web of connections where everyone works with everyone else, making a complete and interconnected network of participants.

Now, let's calculate how effectively this network functions as a tight-knit community by analyzing the average closeness among these exercise pairs. This will help us understand if they're building a community where everyone is equally supportive or if there are weak links in the group. Can you visualize and quantify the average level of interconnectivity of this fitness network using a tool like NetworkX, without actually diving into the calculation part just yet?
### Response:
import networkx as nx

# Create a complete graph with 5 nodes
G = nx.complete_graph(5)

# Compute the average clustering coefficient for the graph
avg_clustering = nx.average_clustering(G)

print('Average clustering coefficient:', avg_clustering)
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