<｜begin▁of▁sentence｜>### Instruction:
As a podcast host who is interested in analyzing network connections, you may want to use the RandomNodeEdgeSampler in networkx to sample a subgraph from a given erdos_renyi_graph. Let's say you have a network with 755 nodes and the probability of an edge between any two nodes is set to 0.35. You want to sample a subgraph containing 50 nodes and then identify the nodes in each maximal k-edge-connected component (with k=2) within the sampled subgraph. This could provide you with valuable insights for discussing network connectivity and structure in your podcast.
### Response:
import networkx as nx
from littleballoffur import RandomNodeEdgeSampler

G = nx.gnp_random_graph(n=755, p=0.35)

sampler = RandomNodeEdgeSampler(50)

sampler_G = sampler.sample(G)

result = nx.k_edge_components(sampler_G, k=2)

print(result)
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