<｜begin▁of▁sentence｜>### Instruction:
As a networkx expert, I can help you with that. Imagine you are working at a hospital and responsible for monitoring the connections between medical equipment. You have a network of 315 medical devices with a probability of 0.25 for each pair to have a connection. Now, you need to use the RandomNodeNeighborSampler to select a subnetwork of 10 devices and identify the minimum number of critical connections that, if disrupted, would disconnect the entire network.
### Response:
import networkx as nx
from littleballoffur import RandomNodeNeighborSampler

G = nx.gnp_random_graph(n=315, p=0.25)

sampler = RandomNodeNeighborSampler(10)

sampler_G = sampler.sample(G)

result = nx.minimum_edge_cut(sampler_G)

print(result)
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