<｜begin▁of▁sentence｜>### Instruction:
Ah, good day! I hope you're enjoying your stay at our esteemed establishment. I understand sometimes our guests, with a penchant for digital adventures, come seeking a bit of technical assistance amidst their relaxation. Consider me your guide in the vast world of network analyses, much like I am with recommendations for our city's fine dining.

Today, it seems you've brought me a rather interesting intellectual exercise while away from the humdrum of daily affairs. You're in possession of a data structure Ã¢ÂÂ a graph, stored in what appears to be a file using the sparse6 format, charmingly titled "littleballoffur11.sparse6". Now, in your exploratory endeavors, you wish to wander this networked neighborhood and carve out a smaller district from the city of nodes, a charming hamlet, if you will, consisting of precisely 10 nodes.

To perform the task akin to planning an exclusive tour for a select group of visitors, you're considering employing the services of the RandomWalkSampler - this tool is the very cabbie to navigate you through the graph's streets. I gather you're needing to know the precise manner of engaging the RandomWalkSampler to extract this subgraph, ensuring that it is a most exemplary reflection of the larger network's character.

Picture this as arranging a personalized outing for an intimate gathering of guests, akin to a private boat cruising through the waterways of Venice, where you wish to soak in the ambiance but with a limited crowd. If this exercise were in need of a .gml file, I would swiftly name it in our correspondence, ensuring you have all you need for your scholarly excursion.

Could you kindly provide me with the next step in your journey through the graph, perhaps a preference on how you'd like to proceed with the sampling?
### Response:
import networkx as nx
from littleballoffur import RandomWalkSampler
G = nx.read_sparse6('littleballoffur11.sparse6')
sampler = RandomWalkSampler(number_of_nodes=10)
sampler_G = sampler.sample(G)
print(sampler_G.edges(), sampler_G.nodes())
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