<｜begin▁of▁sentence｜>### Instruction:
Imagine we're orchestrating a collaborative training session for four different departments within our company, each consisting of five team members. Each department starts as a tight-knit group, similar to a clique where every member is closely connected. To stimulate cross-departmental collaboration and knowledge exchange, we'd like to introduce a 'mixing' exercise where there's a 10% chance for any given connection within a department to be extended to a member of a different department, simulating a random rewire of their established networks.

Could you draft a plan using NetworkX's 'relaxed_caveman_graph' feature to model this scenario digitally? This interactive model will help us visualize and understand potential new inter-departmental connections before we proceed with the live exercise. Please ensure that the semantics of the inter-departmental exercise are faithfully represented in the digital model.
### Response:
import networkx as nx

# Generate a relaxed caveman graph
# with 4 cliques of size 5, with a rewiring probability of 0.1
G = nx.relaxed_caveman_graph(4, 5, 0.1, seed=42)

print(G.edges())
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