<｜begin▁of▁sentence｜>### Instruction:
Certainly! Let's rephrase the question and integrate it into a practical scenario for an accountant:

Imagine you're an accountant tasked with auditing an organization whose network of transactions resembles a perfectly balanced structure, similar to a Platonic Tetrahedral graph that you'd like to model using the NetworkX software. In this network, every entity (node) is involved in three transactions (edges), which mirrors the 3-regularity of the Tetrahedral graph. For a precise assessment, construct and visualize this financial network's flow diagram to mirror the uniformity of a K4 complete graph, and then identify and record the total number of entities and transactions involved. This stable financial structure draws parallels to the W4 wheel graph in its interconnectedness, and understanding its properties could be crucial for your fiscal report and analysis. Could you determine the characteristics that define the robustness of this financial network? Please include these findings in your audit report.
### Response:
import networkx as nx

# Generate a tetrahedral graph
G = nx.tetrahedral_graph()

# Draw the graph
nx.draw(G, with_labels=True)

# Get the number of nodes and edges
num_nodes = G.number_of_nodes()
num_edges = G.number_of_edges()

print(f'Tetrahedral graph has {num_nodes} nodes and {num_edges} edges.')
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