<｜begin▁of▁sentence｜>### Instruction:
Given the requirements for a small-world network with 10 nodes where each node is initially connected to its 3 nearest neighbors, and there's a 50% chance to rewire each edge, how would you use NetworkX to generate a connected Watts-Strogatz graph, attempting up to 100 times and ensuring replicability with a seed?
### Response:
import networkx as nx

# Generate a connected Watts-Strogatz small-world graph with 10 nodes
# Each node is connected to its 3 nearest neighbors in a ring topology
# Rewire edges with a probability of 0.5
# Try up to 100 times to generate a connected graph
G = nx.connected_watts_strogatz_graph(10, 3, 0.5, tries=100, seed=42)

# Print the edges in the generated graph
print('Edges in the generated graph:', G.edges())
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