<｜begin▁of▁sentence｜>### Instruction:
Imagine you're analyzing a network of financial institutions where each node represents a bank, labeled 1 to 5. The connections or edges between these banks (1 to 2, 1 to 3, 1 to 4, 3 to 4, 3 to 5, and 4 to 5) signify financial transactions or strategic partnerships. In order to gauge the operational resilience of this network, you need to ascertain the maximum length of time it would take to relay a critical piece of information or a financial asset from one bank to another, using the most efficient route possible. Essentially, we're looking to determine the 'diameter' of this banking network. How long is the longest shortest transaction route within our described network of banks?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
# Add edges to the graph
G.add_edges_from([(1, 2), (1, 3), (1, 4), (3, 4), (3, 5), (4, 5)])
# Get the diameter of the graph
graph_diameter = nx.diameter(G)
print(f'The diameter of the graph is: {graph_diameter}')
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