<｜begin▁of▁sentence｜>### Instruction:
Imagine we're trying to understand the structure of an ancient meteorological network, consisting of a central climate phenomenon influencing surrounding weather patterns. If we were to model this system as a wheel graph with a central node representing the core climate event, how might we go about constructing such a model with 5 nodes to reflect the meteorological connections? Specifically, let's rendeavour to identify and list the nodes and edges that compose this hypothetical wheel graph, which will serve as a foundational step in our analysis of past climate influence patterns.
### Response:
import networkx as nx

# Create a wheel graph with 5 nodes
W = nx.wheel_graph(5)

# Print the nodes and edges of the wheel graph
print('Nodes:', W.nodes())
print('Edges:', W.edges())
<|EOT|>
