<｜begin▁of▁sentence｜>### Instruction:
Imagine we've unearthed a relic of a society where five distinct tribes were interconnected with a complex system of alliances, all of which were of equal strength. Let's say we're trying to decipher a system that they might have used to determine the most efficient way to reach a consensus or make communal decisions. They seem to have a method akin to modern network science, where each tribe is represented as a node, and each alliance as an equally weighted edge. As an anthropologist, how would you describe the concept of the "Kemeny constant" for this tribal alliance network, ensuring the figure is accurate to ten decimal places, within the context of interpretive complexity?
### Response:
import networkx as nx

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

# Calculate the Kemeny constant for the graph
# The weight parameter is optional and defaults to None
kemeny_const = nx.kemeny_constant(G, weight='weight')

# Print the rounded Kemeny constant
print(round(kemeny_const, 10))
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