<｜begin▁of▁sentence｜>### Instruction:
As a dance choreographer, you've been tasked with creating a performance with 50 dancers for a large-scale event. To ensure the selection process is impartial and diverse, you decide to use a randomized approach similar to a breadth-first search algorithm to sample 50 dancers from a pool of 800 talented individuals. Once the dancers are selected, you need to provide detailed information about the sampled group, including their specialties, experience, and other relevant attributes.
### Response:
import networkx as nx
from littleballoffur import BreadthFirstSearchSampler

G = nx.gnp_random_graph(n=800, p=0.25)

sampler = BreadthFirstSearchSampler(50, seed=123)

sampler_G = sampler.sample(G)

print(nx.info(sampler_G))
<|EOT|>
