<｜begin▁of▁sentence｜>### Instruction:
Imagine you're reviewing a set of MRI scans that metaphorically represent an intricate network of patient referrals within a hospital system. You observe a particular pattern where three physicians—let's call them 'A', 'B', and 'C'—are referring patients to one another in a closed loop: 'A' refers to 'B', 'B' refers to 'C', and 'C' refers back to 'A'. In the language of NetworkX, a software tool used to study the structure and dynamics of complex networks, we're interested in determining if this referral loop constitutes what is known as a 'triad'. Would you consider such a circular referral pattern depicted in these hypothetical scans as forming a triad within the scope of NetworkX's 'is_triad' function?
### Response:
import networkx as nx

# Create a directed graph
G = nx.DiGraph()

# Add edges to form a triad
G.add_edge('A', 'B')
G.add_edge('B', 'C')
G.add_edge('C', 'A')

# Check if the graph is a triad
is_triad = nx.is_triad(G)
print('Is G a triad?', is_triad)
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