<｜begin▁of▁sentence｜>### Instruction:
Imagine we have a client who's working on a network analysis project. They've handed us a graph, a kind of social web, where each person is connected to every other person. To be precise, it's a complete graph with five individuals. Our client is curious about a specific measure known as the Wiener index, which adds up all the shortest paths between any two individuals within this web. They require our expertise to translate this concept from the realm of network theory into actionable data they can use. Could we process this information using NetworkX to provide them with the Wiener index value for their fully-connected social network?
### Response:
import networkx as nx

# Create an undirected graph
G = nx.complete_graph(5)

# Compute the Wiener index
wiener = nx.wiener_index(G)

print('Wiener index of the complete graph:', wiener)
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