<｜begin▁of▁sentence｜>### Instruction:
Alright, let's set the scene. Imagine we're working on a user experience research project, and our goal is to enhance the interface of a network analysis tool. Users have been asking for more intuitive ways to work with large networks, particularly wanting to focus on community structures within these networks without getting overwhelmed by the complexity of the entire graph. They're eager to explore sub-sections of the network while retaining the meaningful connections and relationships that give context to their data.

So, we're considering the integration of a new feature that leverages the CommunityStructureExpansionSampler from littleballoffur. Our users, who aren't necessarily experts in graph theory but are savvy with the analytics tool, would greatly benefit from a feature that can intuitively sample connected subgraphs. This way, they can hone in on specific communities and analyze the interactions within these subcommunities more effectively.

With this in mind, let's revisit the original request. In user experience terms, we're looking at a scenario where a user has a network data file Ã¢ÂÂ let's call it 'littleballoffur4.gml' since we're discussing a hypothetical GML file scenario. They want to know how to use the CommunityStructureExpansionSampler within our analytics tool to extract a subgraph that's not just connected, but also retains the integrity of the community structures found in the entire network.

To translate this into a question for development: How can we guide our users to apply the CommunityStructureExpansionSampler feature on a network imported from 'littleballoffur4.gml' so that they can seamlessly generate a connected subgraph which conserves the community structure inherent to the larger original graph? The aim is to make this process intuitive and user-friendly, fitting seamlessly into the workflow they are already familiar with.
### Response:
import networkx as nx
from littleballoffur import CommunityStructureExpansionSampler
G = nx.read_sparse6('littleballoffur4.sparse6')
sampler = CommunityStructureExpansionSampler(number_of_nodes=10)
sampled_G = sampler.sample(G)
print(sampled_G.edges(), sampled_G.nodes())
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