<｜begin▁of▁sentence｜>### Instruction:
As a language translator, I can understand the need to rephrase technical questions in a more practical context. Let's frame this in a real-world scenario:

Suppose you are a researcher studying the spread of information in a social network of 500 individuals who have a 20% chance of connecting with each other. You want to use the ShortestPathSampler tool in the Networkx library to sample a subgraph of 150 nodes and determine if the sampled subgraph forms a connected network. 

This can be translated to: You're investigating the communication dynamics within a large online community, and you want to understand if a sample of 150 users forms a cohesive communication network. Can you use the ShortestPathSampler tool in the Networkx library to analyze this?

Is this what you were looking for?
### Response:
import networkx as nx
from littleballoffur import ShortestPathSampler

G = nx.gnp_random_graph(n=500, p=0.2)

sampler = ShortestPathSampler(150)

sampler_G = sampler.sample(G)

result = nx.is_connected(sampler_G)

print(result)
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