<｜begin▁of▁sentence｜>### Instruction:
As a Health Coach, I can help you navigate and understand how to best support and guide individuals in making beneficial lifestyle changes. In this scenario, let's say you are working with a group of 540 individuals who are interconnected through a network of relationships. This network is represented using the erdos_renyi_graph with n=540 and p=0.3 in Python's NetworkX library. Using the NonBackTrackingRandomWalkSampler in the NetworkX library, you've sampled a subgraph consisting of 40 nodes from this network.

Now, your task is to identify k-clique (k is 4) communities within this sampled subgraph using the percolation method. Can you tell me what are the k-clique communities found in the sampled subgraph?
### Response:
import networkx as nx
from littleballoffur import NonBackTrackingRandomWalkSampler

G = nx.gnp_random_graph(n=540, p=0.3)

sampler = NonBackTrackingRandomWalkSampler(40)

sampler_G = sampler.sample(G)

result = nx.community.k_clique_communities(sampler_G, 4)

print(result)
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