<｜begin▁of▁sentence｜>### Instruction:
Imagine you're working on a unique prosthetic project that involves not just physical biomechanics but also a complex network design resembling the structure of a dodecahedral graph. This network is crucial for the limb's multi-vector movement simulation. To fine-tune the prosthetic's networked control system, you need to understand the device's global parameters informed by the graph's inherent properties, specifically, its characteristic as a distance-regular graph.

In enhancing this prosthetic system, you would require the evaluation of specific metrics that are defined by the dodecahedral graph's intersection array, which fundamentally represents the network's structure. How might you go about extracting and interpreting these global parameters from the given intersection array to guarantee the system operates with optimal efficiency and precision, reflecting the mathematical beauty underlying its design?
### Response:
import networkx as nx

# Create a distance-regular graph, such as a dodecahedral graph
G = nx.dodecahedral_graph()

# Obtain the intersection array of the graph
b, c = nx.intersection_array(G)

# Calculate the global parameters using the intersection array
parameters = list(nx.global_parameters(b, c))

# Print the global parameters
print(parameters)
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