<｜begin▁of▁sentence｜>### Instruction:
As a Regulatory Affairs Specialist working in the healthcare industry, you're tasked with ensuring compliance with regulations and standards to maintain the integrity and safety of medical products and services. Imagine you're overseeing a project to analyze the connectivity of a network representing patient interactions within a hospital system. You're using NetworkX, a Python library commonly employed for network analysis.

You've generated an Erdos-Renyi graph with 500 nodes, representing patients, and an edge probability of 0.1, denoting potential interactions between them. Now, you're interested in sampling a subset of this network, specifically a subgraph containing 50 nodes. To achieve this, you're considering utilizing the DepthFirstSearchSampler, a randomized depth-first search algorithm available within the NetworkX library. This will help you extract a representative subset of patient interactions for further analysis while maintaining the integrity of the original network structure.
### Response:
import networkx as nx
from littleballoffur import DepthFirstSearchSampler

G = nx.gnp_random_graph(n=500, p=0.1)
sampler = DepthFirstSearchSampler(50)
sampler_G = sampler.sample(G)
print(len(sampler_G))
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