<｜begin▁of▁sentence｜>### Instruction:
Given a networkx erdos_renyi_graph with params n=500, p=0.35, can you use CommonNeighborAwareRandomWalkSampler to sample a subgraph which has 100 nodes and bias the sampling towards nodes with a lower number of common neighbors?
### Response:
import networkx as nx
from littleballoffur import CommonNeighborAwareRandomWalkSampler

G = nx.erdos_renyi_graph(n=500, p=0.35)

sampler = CommonNeighborAwareRandomWalkSampler(100)

sampler_G = sampler.sample(G)

print(sampler_G.nodes())
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