<｜begin▁of▁sentence｜>### Instruction:
As an Electrical Engineer designing, developing, and testing electrical systems, equipment, and components for various applications and industries, imagine you are tasked with using a specialized tool called the RandomWalkSampler to sample a subgraph from a complex network representing a power distribution grid. Specifically, you need to sample nodes from a simulated grid with 400 components that are interconnected with a probability of 0.25 for each connection. 

However, you are curious about the significance of sampling nodes using a single random walk technique in this context. What are the implications and advantages of employing this approach when analyzing and inspecting the grid's stability and performance?
### Response:
import networkx as nx
from littleballoffur import RandomWalkSampler

G = nx.gnp_random_graph(n=400, p=0.25)

sampler = RandomWalkSampler(50, seed=10)

sampler_G = sampler.sample(G)

print(sampler_G.nodes())
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