<｜begin▁of▁sentence｜>### Instruction:
Imagine a scenario where we're trying to map out a network of health professionals where there are groups, or 'cliques', specializing in different areas of chiropractic care. We want to create a diagram that shows four distinct groups, with each group representing a different specialty. Each group has five experts, and there's one central figure renowned in all areas who connects these groups together.

How could we use NetworkX to construct and display a visual representation of this interconnected network of chiropractic specialists? If we were to encapsulate this network in a digital format for ease of sharing, we might represent it in a GML file named "chiropractic_specialties_network.gml". How would this file depict the aforementioned scenario with the central node binding the four cliques in a unified structure?
### Response:
import networkx as nx

# Generate a windmill graph with 4 cliques, each of size 5
G = nx.windmill_graph(4, 5)

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