<｜begin▁of▁sentence｜>### Instruction:
As a networkx assistant, I can definitely help with that. Imagine that you are a therapist working with a support group for individuals, couples, and families facing various challenges such as anxiety, depression, trauma, and relationship conflicts. You aim to create a supportive environment tailored to each participant's needs and preferences, promoting self-awareness, personal growth, and well-being.

Now, in the context of creating an analogy with networkx, let's say that you want to organize a group activity where participants form smaller subgroups to work on a specific task together. In this scenario, you could use the RandomNodeEdgeSampler from networkx to sample a subgraph from a larger erdos_renyi_graph, which represents the entire group.

So, for this task, you want to sample a subgraph from a networkx erdos_renyi_graph that represents your entire support group, with specific parameters such as the number of nodes (participants) and the probability of edges (interactions). Once the subgraph is sampled, you can visualize and discuss the connections within the subgroups, helping each participant understand their relationships and interactions within the larger support network.

Would you like to proceed with the practical exercise of sampling the subgraph and exploring the edges within the smaller group?
### Response:
import networkx as nx
from littleballoffur import RandomNodeEdgeSampler

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

sampler = RandomNodeEdgeSampler(50, seed=10)

sampler_G = sampler.sample(G)

print(sampler_G.edges())
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