<｜begin▁of▁sentence｜>### Instruction:
Imagine you're mapping out a small network of smart contract interactions within a blockchain environment, and you want to analyze a specific pattern of connections. This pattern is known as the '030T' triad configuration, one of the 16 fundamental structures that can exist in a directed graph linking three participants.

Your task is to model and graph this particular triad using NetworkX to better understand its dynamics, assuming the participants are represented by nodes labeled 'a', 'b', and 'c'. How would this '030T' triad manifest within your blockchain network, considering the directionality of transactions or data flow between these three nodes?

As part of your development work, you're considering this architectural blueprint to help optimize the smart contract interactions. While you're at it, be sure to visualize this network model, perhaps to include in your project's documentation or to serve as part of a presentation to stakeholders.
### Response:
import networkx as nx

# Use the triad_graph function with a valid triad name
triad_name = '030T'
triad = nx.triad_graph(triad_name)

# Print the edges of the triad graph
print(triad.edges())

# Draw the triad graph (requires matplotlib)
try:
    import matplotlib.pyplot as plt
    nx.draw(triad, with_labels=True)
    plt.show()
except ImportError:
    print('matplotlib is not installed')
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