<｜begin▁of▁sentence｜>### Instruction:
Imagine we're examining a network similar to the complex interconnections found in the skin's structure, represented as a cubical graph for an educational presentation. We wish to create a visual aid that clearly displays the nodes representing, let's say, the clusters of skin cells, each with a size substantial enough to be easily identifiable, akin to 700 times the size of a standard node. We want these cell clusters to be visually soothing and appealing, reminiscent of the color 'skyblue', to symbolize a healthy skin tone. The connections, akin to the bonds between skin cells, are to be emphasized using lines of twice the usual thickness to indicate their strength and integrity. Additionally, each node is to be marked with a label, as bold as the emphatic advice given to patients about sunscreen, ensuring it stands out for immediate comprehension. Finally, to maintain focus on the structure itself, we'll remove any peripheral distractions, like an axis in this case, to keep the audience's attention solely on the intricate pattern of the cubical graph. Could you translate this concept into a visual presentation, ensuring each of these elements is incorporated accordingly?
### Response:
import matplotlib.pyplot as plt
import networkx as nx

# Create a simple graph
G = nx.cubical_graph()

# Define node positions in a dictionary based on the graph layout
pos = nx.spring_layout(G)

# Draw the graph with custom options
nx.draw_networkx(G, pos=pos, node_size=700, node_color='skyblue', with_labels=True, font_weight='bold', width=2)

# Remove axis
plt.axis('off')
# Show the plot
plt.show()
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