<｜begin▁of▁sentence｜>### Instruction:
Hey there! So, picture this: I'm working as a Recreation Therapist, right? It's all about creating these engaging and therapeutic activities for folks with disabilities or illnesses, to help them find joy and improvement in their daily lives. We often use different sorts of games and activities that encourage them to think, move, and interact in beneficial ways. It's all about tailoring those experiences to meet their individual needs.

Now, suppose I'm planning a session, and I thought of using a metaphor of connections and networks - akin to friendships or support systems in real life. What I want to do is to simulate this network using a graph as a visual aid to help participants visualize how they're all interlinked in this complex web of their community.

What I've got here is a digital representation of such a network stored in a file named 'littleballoffur4.sparse6'. It's kind of dense though, so I want to simplify it to make it more digestible for our session. If I think about it, a good activity would simulate a "journey" through their network, but for that, I'd need a smaller, more manageable subgraph, say with just 10 nodes. You know, something that represents a close-knit circle of friends or a support group.

Could you demonstrate how to use the RandomWalkSampler tool to extract this smaller subgraph from the original file? Imagine you're writing instructions for a colleague who's not as tech-savvy, and remember, we'll be using this in our next group session, so it needs to be clear enough for others to reproduce it. If we were using a more common graph file format, like GML, what would be the name of that file following the same information from 'littleballoffur4.sparse6'?
### Response:
import networkx as nx
from littleballoffur import RandomWalkSampler
G = nx.read_sparse6('littleballoffur4.sparse6')
sampler = RandomWalkSampler(number_of_nodes=10)
sampled_G = sampler.sample(G)
print(sampled_G.edges(), sampled_G.nodes())
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