<｜begin▁of▁sentence｜>### Instruction:
In your role as a Substance Abuse Counselor, imagine you are seeking to create a visual representation of the interconnected nature of various factors that make up the underlying structure supporting addiction recovery. You decide to construct a visual aid that resembles the interconnectedness and resilience found within the structure of the Dodecahedral graph, a perfect example of symmetrical balance with its 20 nodes and 30 edges, echoing the holistic approach needed in treatment and support systems. Think of the nodes representing various aspects such as social support, coping mechanisms, and treatment options, with the edges symbolizing the relationships and pathways between them.

How might you proceed to develop such a multi-faceted model utilizing NetworkX, subsequently enabling you to depict this architectural blueprint of recovery visually, with each point of intervention (nodes) and their relational pathways (edges) displayed for a clearer understanding of the cohesive system at play? Integrating this conceptual map could be invaluable in demonstrating to your clients the importance of a well-rounded recovery network.

Please keep in mind that if your visualization is drawn from specific data, such as a .gml file detailing the connections of the graph, ensure that this file is mentioned in your approach to creating this graphical representation.
### Response:
import networkx as nx

# Use the dodecahedral_graph function
G = nx.dodecahedral_graph()

# Print the number of nodes and edges
print('Nodes:', len(G.nodes()))
print('Edges:', len(G.edges()))

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