<｜begin▁of▁sentence｜>### Instruction:
As a space psychologist, you're likely to appreciate the complexity and interconnectedness of systems, not unlike the structure of a dodecahedral graph. Imagine you're presenting a mental well-being network analysis among the crew within a space habitat, modeled as a dodecahedral graph. For clarity in your presentation, you wish to display each astronaut's identifier with specific visual cues: a font size of 12 to maintain readability within the confines of the habitat's limited display space, the color red to symbolize the importance of psychological safety, and a bold font weight to convey the strength of their interconnected support system. How could you configure the display of these node labels to meet these visual specifications using NetworkX along with Matplotlib for your upcoming seminar on astronautical social structures?
### Response:
import matplotlib.pyplot as plt
import networkx as nx

# Create a graph
G = nx.dodecahedral_graph()

# Generate positions for each node
pos = nx.spring_layout(G)

# Draw the nodes
nx.draw_networkx_nodes(G, pos)

# Draw the node labels
labels = nx.draw_networkx_labels(G, pos, font_size=12, font_color='r', font_weight='bold')

# Show the plot
plt.show()
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