<｜begin▁of▁sentence｜>### Instruction:
Imagine you're overseeing a network of five fully connected airports. Each airport is a node, and each direct flight path between two airports is an edge, creating a web of routes where every airport is reachable from every other in a single flight. Now, imagine you want to find the optimal central hub—essentially, the airport that minimizes the total distance for travelers flying between all possible pairs of airports. This optimal point is represented by the Kemeny constant for this network. Using NetworkX software, could you analyze the air traffic data and determine this Kemeny constant to ensure the most efficient routing of flights throughout this tightly-knit network?
### Response:
import networkx as nx

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

# Compute the Kemeny constant
kemeny_const = nx.kemeny_constant(G)

print(f'The Kemeny constant of the graph:',round(kemeny_const, 10))
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