<｜begin▁of▁sentence｜>### Instruction:
As a GIS Specialist, I often work with spatial data to analyze and visualize geographic information. A current project involves studying a network of 200 interconnected locations with a probability of connection set at 0.2. Using the DiffusionTreeSampler, I need to sample a subgraph containing 50 nodes from the network using a diffusion process. This will help in understanding the spread of information or influence within the network.
### Response:
import networkx as nx
from littleballoffur import DiffusionTreeSampler

G = nx.erdos_renyi_graph(n=200, p=0.2)

sampler = DiffusionTreeSampler(50)

sampler_G = sampler.sample(G)

print(sampler_G.nodes())
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