<｜begin▁of▁sentence｜>### Instruction:
Given a graph which you can read from littleballoffur13.sparse6, how can you use CommonNeighborAwareRandomWalkSampler to sample a subgraph with 10 nodes biased towards connecting to nodes with fewer common neighbors?
### Response:
import networkx as nx
from littleballoffur import CommonNeighborAwareRandomWalkSampler
G = nx.read_sparse6('littleballoffur13.sparse6')
sampler = CommonNeighborAwareRandomWalkSampler(number_of_nodes=10)
sampler_G = sampler.sample(G)
print(sampler_G.edges(), sampler_G.nodes())
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