<｜begin▁of▁sentence｜>### Instruction:
Imagine we are delving into a historical case study to gain insights for a modern business strategy project. The subject at hand is the intricate web of alliances and feuds among the influential Florentine families of the 15th century, which is captured in an insightful data graph called the Florentine families graph. This graph is accessible through the NetworkX library.

For us to construct a detailed analysis, we will need to extract a comprehensive listing of all the key players, that is, the family names (nodes), and to map out the complex tapestry of their interconnections, or the familial relationships (edges) that bind or oppose them. This exercise will offer us valuable lessons on network structures that could be applied to modern corporate relationship management.

Should this data graph originate from a GML file, please be sure to identify the file by name to maintain clarity. Integrating this historical data accurately into our scenario will be crucial for devising strategies that reflect the nuanced dynamics of alliance-building and competition, which are as relevant now as they were in the Renaissance period.
### Response:
import networkx as nx

# Load the Florentine families graph
G = nx.florentine_families_graph()

# Print the nodes of the graph
print('Nodes in Florentine families graph:', G.nodes())

# Print the edges of the graph
print('Edges in Florentine families graph:', G.edges())
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