<｜begin▁of▁sentence｜>### Instruction:
As part of our ongoing research project, we've modeled two distinct network structures: one representing a closed loop communication network (Cycle Graph C4) and another representing a centralized communication system (Wheel Graph W5). We need to assess the feasibility of transitioning from the cycle graph to the wheel graph to propose improvements to an existing network design.

Could you assist us in utilizing the NetworkX library to determine all possible sequence of modifications that would convert the cycle graph into the wheel graph with minimal adjustments? Along with identifying these sequences, it is critical to our analysis to calculate the total cost associated with each minimal edit path. This information is crucial for our project report, where we are evaluating the investment needed for the network transformation. Please note that this scenario assumes the existence of relevant network data, but no specific GML files or data sets were provided.
### Response:
import networkx as nx

# Define two graphs
G1 = nx.cycle_graph(4)
G2 = nx.wheel_graph(5)

# Compute all minimum-cost edit paths
paths, cost = nx.optimal_edit_paths(G1, G2)

# Output the number of paths and the cost
print('Number of paths:', len(paths))
print('Cost:', cost)
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