<｜begin▁of▁sentence｜>### Instruction:
Assuming we're landscaping the digital landscape of a social network, picture a scenario where I'm crafting a blueprint that illustrates the social interactions within a community garden setting. I'll be planting two different types of flora: one representing the local women who frequent the garden, and another for the social clubs that bloom within this shared space. My blueprint is based on the "Davis Southern women social network" that's been outlined in scholarly work [1], and I shall be mapping it using NetworkX's tools. The graph I draft is bipartite, symbolizing the nature of the relationships between the women and clubs. Once my design is complete, I will be cataloging the names of the garden's female patrons and the clubs that have taken root. If my blueprint references a specific dataset, say a "gml file", I would make sure to note the file name amidst my design notes.
### Response:
import networkx as nx

# Load the Davis Southern women social network
G = nx.davis_southern_women_graph()

# Print the bipartite sets of nodes
women, clubs = nx.algorithms.bipartite.sets(G)
print('Women:', list(women))
print('Clubs:', list(clubs))
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