<｜begin▁of▁sentence｜>### Instruction:
As a receptionist, your office uses a network simulation tool called NetworkX to analyze communication patterns within your organization. Suppose you've generated a network representing email exchanges among 800 employees using the Erdos-Renyi model, with a probability parameter set to 0.1.

Now, imagine your supervisor tasks you with a project: they want to examine the efficiency of communication pathways within a subset of your organization. Specifically, they request you to sample a subgraph comprising 20 individuals by randomly selecting shortest paths between pairs of employees.

To accomplish this task efficiently, you could utilize the ShortestPathSampler API provided within NetworkX. This will allow you to extract a focused subgraph for detailed analysis, providing insights into the most effective channels of communication among your colleagues.
### Response:
import networkx as nx
from littleballoffur import ShortestPathSampler

G = nx.gnp_random_graph(n=800, p=0.1)

sampler = ShortestPathSampler(20, seed=123)

sampler_G = sampler.sample(G)

print(sampler_G)
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