<｜begin▁of▁sentence｜>### Instruction:
In our current research project aimed at modeling polyhedral structures within network theory, we have turned our attention to the fascinating Archimedean solids. Specifically, we are interested in the truncated cube, known for its symmetrical geometry with 14 regular faces, 36 edges, and 24 vertices, created by slicing the corners of a cube at one-third the distance along each edge.

Our objective is to accurately represent the skeleton of this truncated cube, which comprises its vertices and edges, through computational graph theory methods. To facilitate our study, we seek to employ the NetworkX library to generate a graph that mirrors the connectivity and structure inherent to this geometric entity.

Would you rephrase this request for technical assistance in constructing and rendering the graph of the truncated cube's skeleton using NetworkX, ensuring that the details of our polyhedral subject and its topological characteristics are meticulously preserved in the digital representation? Should our work produce a digital file or dataset encapsulating this model, the details of the file's format and name should be clearly communicated in your response.
### Response:
import networkx as nx

# Use the truncated_cube_graph function to create the graph
t_cube_graph = nx.truncated_cube_graph()

# Draw the graph using matplotlib (optional)
import matplotlib.pyplot as plt
nx.draw(t_cube_graph, with_labels=True)
plt.show()
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