<｜begin▁of▁sentence｜>### Instruction:
Given a complete graph with 5 nodes, can you calculate the Common Neighbor and Centrality based Parameterized Algorithm (CCPA) scores for pairs of nodes (0, 1) and (2, 3) using NetworkX, considering an alpha parameter value of 0.8 for the CCPA score calculation?
### Response:
import networkx as nx

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

# Set the alpha parameter for the CCPA score calculation
alpha = 0.8

# Calculate the CCPA scores for pairs of nodes (0, 1) and (2, 3)
preds = nx.common_neighbor_centrality(G, ebunch=[(0, 1), (2, 3)], alpha=alpha)

# Print the computed CCPA scores
for u, v, p in preds:
    print(f'({u}, {v}) -> {p}')
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