<｜begin▁of▁sentence｜>### Instruction:
Imagine you've come to me much like a patient seeking an intricate diagnosis for a unique physiological network within the body. You're presenting a complex scenario that necessitates the crafting of a specialized circulatory system, one that might resemble the pathways of blood but with a specific set of instructions to follow for its construction. The system must represent a prime number 'p', akin to a critical biological constant, with each vertex 'x' in this system not just connected linearly but also linked to its mathematical counterpart, which in medical terms, we could say its 'functional inverse', within the modular arithmetic world – the anatomy of numbers, if you will.

This network is not just a plain network but must also satisfy the criteria of being a '3-regular expander', a term reminiscent of a well-functioning organ, maintaining fluid equilibrium based on a theorem credited to a renowned researcher in the field, A. Lubotzky. To put it simply, your ask is to emulate this process, constructing a framework that ensures every element or 'vertex' is connected in a triad of relationships, fostering an optimally expansive and resilient system, as one expects in a healthy, robust organism.
### Response:
import networkx as nx

# Generate a chordal cycle graph with a prime number 'p' as the number of nodes
p = 7 # 'p' must be a prime number
cycle_graph = nx.chordal_cycle_graph(p)

# Print the edges of the created chordal cycle graph
print(cycle_graph.edges())
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