<｜begin▁of▁sentence｜>### Instruction:
Alright, let's imagine we're out on the field where understanding the interconnections within a complex network is paramount for ensuring a safe and secure work environment. Just like assessing potential risk points within our facility's layout, we're looking at a sort of map - except this one's a bit more abstract, it's a graph network captured in a data file. Think of it like a blueprint of all the possible interactions within a system, where being proactive could mean preventing a mishap.

Now, we've got this graph stored in a 'littleballoffur13.sparse6' file Ã¢ÂÂ consider it akin to a detailed site plan, outlining all the possible interaction points. Our goal is to hone in on a specific section of this grand schematic, to closely examine a sample that's more manageable in size. Much as we'd do a risk assessment focusing on a particular area of a workplace.

Imagine we're equipped with a tool called the FrontierSampler Ã¢ÂÂ it's just as it sounds, cutting-edge and designed to carve out a chunk of our greater network for close inspection. We need to use this tool to extract a subgraph, a smaller but significant snippet of our larger interaction blueprint, comprised of 50 nodes. But there's a catch: we want our sample to be truly representative of our broader network, so we choose 5 nodes as our starting points, or "seed nodes". These are akin to key areas in a workspace from which we watch safety practices ripple outward.

So, in the language of our job, we might pose the question: Can we initiate the FrontierSampler tool on the 'littleballoffur13.sparse6' file to extract a targeted subgraph? This subgraph should consist of 50 nodes, beginning the sampling process from 5 strategically chosen seed nodes, ensuring our subsample reflects the broader network's structure, much as a targeted safety check mirrors overall workplace safety.
### Response:
import networkx as nx
from littleballoffur import FrontierSampler
G = nx.read_sparse6('littleballoffur13.sparse6')
sampler = FrontierSampler(number_of_seeds=5, number_of_nodes=50)
sampler_G = sampler.sample(G)
print(sampler_G.edges())
print(sampler_G.nodes());
<|EOT|>
