<｜begin▁of▁sentence｜>### Instruction:
As a Dance Therapist, imagine you're organizing a therapeutic dance workshop for a group of 500 participants. You've designed a network representing connections between participants, akin to the bonds formed during the dance sessions. Using the networkx library, you've created an Erdos-Renyi graph with 500 nodes, simulating the participants, and a connection probability of 0.2, reflecting the likelihood of forming a bond during the workshop.

Now, you're intrigued to explore a subset of these connections to delve deeper into the dynamics of the group. You've decided to utilize the RandomEdgeSampler API from networkx, which enables you to extract a subgraph comprising 150 edges from the main network. This sampled subgraph will offer valuable insights into the smaller interactions within the group.

Once you've obtained this subgraph, you aim to analyze its characteristics, such as the number of nodes and edges it contains. This analysis will shed light on the structure and composition of the subset, enriching your understanding of the interpersonal dynamics within the larger dance therapy group.
### Response:
import networkx as nx
from littleballoffur import RandomEdgeSampler

G = nx.gnp_random_graph(n=500, p=0.2)

sampler = RandomEdgeSampler(150, seed=50)

sampler_G = sampler.sample(G)

print(nx.info(sampler_G))
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