<｜begin▁of▁sentence｜>### Instruction:
Imagine you're evaluating the strength of social engineering defenses within a corporate network. You identify a complete graph representing the interconnectivity of five key employees within the organization, where every individual is in direct contact with all the others. You decide to employ the Adamic-Adar index as part of your security assessment protocol to gauge the likelihood of certain pairings being exploited for information sharing or potentially to spread misinformation within this network. Specifically, you'd like to calculate the Adamic-Adar index for two sets of individuals: Employee 0 with Employee 1 and Employee 2 with Employee 3. This evaluation will help in identifying if their shared connections make them particularly vulnerable or suggestively resilient to potential social engineering attacks. How would you articulate the necessary steps to compute this index within the given network using NetworkX, keeping in mind that the calculated values could inform further cybersecurity strategies in the organization?
### Response:
import networkx as nx

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

# Compute the Adamic-Adar index for pairs of nodes
preds = nx.adamic_adar_index(G, [(0, 1), (2, 3)])

# Print the results
for u, v, p in preds:
    print(f"({u}, {v}) -> {p:.8f}")
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