<｜begin▁of▁sentence｜>### Instruction:
Ah, imagine being out in the field, gently brushing away centuries of sediment off a newly-uncovered artifact. You feel the buzz of excitement every archaeologist knows when a new piece of history sees the light of day. Yet, the meticulous nature of our work doesn't stop there; it's a lot like piecing together a puzzle out of a mountain of scattered pieces, some of which are hidden beneath years of accumulated data.

You see, my colleague, it's very similar when dealing with data in our research. We often have dense networks of historical trade routes or social connections encoded in a complex graph that we've painstakingly compiled. And sometimes, we need to survey just a small section of these networks to understand the local structure or to make the problem more manageable.

In this case, it's like we have a sprawling site, rich with information in the form of a graph stored in a "littleballoffur5.sparse6" file. But we're only interested in careful excavation of a smaller, more focused area, say, a site comprising just 10 settlements (or nodes).

So the question at hand, rephrased in a manner befitting our professional lingo, is: How might we utilize the BreadthFirstSearchSampler method to extract a smaller dig site, precisely a subgraph consisting of 10 nodes, from the extensive map provided in our "littleballoffur5.sparse6" archive?
### Response:
import networkx as nx
from littleballoffur import BreadthFirstSearchSampler
G = nx.read_sparse6('littleballoffur5.sparse6')
sampler = BreadthFirstSearchSampler(number_of_nodes=10)
sampler_G = sampler.sample(G)
print(sampler_G.edges(), sampler_G.nodes())
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