<｜begin▁of▁sentence｜>### Instruction:
Alright, imagine you've come to me, an immigration lawyer, with a complex case that involves a large network of individuals from various countries. My job typically involves meticulously going through mounds of information and evidence to understand the connections between people, which can often resemble a sprawling web of relationships and interactions. To effectively represent a client, we need to be able to condense this information into manageable chunks, much like spotlighting a few critical pieces of a vast puzzle to get a clearer picture for legal purposes.

Similarly, in your case, we're interested in distilling a broad and densely knitted network down into a more palpable subset that's easier to analyze and understand. So, let's consider a computerized network graph as analogous to our international web of personal connections. The task at hand, akin to selecting a small group of individuals from a large community to understand the spread of information or the pattern of relationships, involves utilizing a data sampling method from the digital world.

In specific legal parlance, you're asking for a focused examinationÃ¢ÂÂa 'sampling', if you willÃ¢ÂÂof a particular subset of a network graph. Using a method we can liken to a "randomized snowball sampling" from the world of computing, we aim to create a representative yet manageable subgraph. In this scenario, youÃ¢ÂÂre looking to retrieve exactly 10 nodes from the original graph, much as we might extract a handful of key witnesses from a larger group of individuals. The criteria here also stipulate that we limit our examination to a maximum of 5 connectionsÃ¢ÂÂor 'neighbor relations', as we'd say in technical termsÃ¢ÂÂper individual within the subset, ensuring that the sample doesn't become too broad or complex to analyze quickly and effectively. 

Now, if this were a case file I was dealing with, I would have it as a GML file labelled with the relevant case number. So let's translate your task to my field: Can you utilize the SnowBallSampler to select a focused group of 10 people from our larger network, ensuring that any individual in this selection knows no more than 5 others within this same group, and package this as a GML file named littleballoffur3.gml for our review?
### Response:
import networkx as nx
from littleballoffur import SnowBallSampler
G = nx.read_sparse6('littleballoffur3.sparse6')
sampler = SnowBallSampler(number_of_nodes=10, k=5, seed=42)
sampler_G = sampler.sample(G)
print(sampler_G.edges(), sampler_G.nodes())
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