<｜begin▁of▁sentence｜>### Instruction:
Imagine we have a dance troupe, where each dancer forms connections with others through their performances. Think of it like a choreography pattern: Dancer 1 pairs with Dancer 2 and Dancer 3; Dancers 2 and 3 also have a sequence together; Dancer 3 moves on to partner with Dancer 4; and the pattern continues with Dancers 4, 5, and 6 interlinking in a sequence of steps (specifically, Dancer 4 pairs with Dancers 5 and 6, then Dancer 5 with Dancer 6).

In preparation for an upcoming ensemble piece, the director wishes to spotlight a group of dancers who are not at the core of our main formations (those are our principal dancers), but who are nevertheless integral to the interconnected flows of the dance — these are dancers who connect with at least two others, but are not the primary stars. 

To put this in perspective, imagine our network of dancers as points of contact, and their performance pairings as lines drawn between them. Is it possible for us to isolate this particular group of dancers, ensuring that each has precisely two connections within our choreography map? We're aiming to build a sequence that emphasizes their contributions while still presenting a cohesive performance.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
# Add edges
G.add_edges_from([(1, 2), (1, 3), (2, 3), (3, 4), (4, 5), (5, 6), (4, 6)])

# Get the 2-shell of the graph
k_shell_subgraph = nx.k_shell(G, k=2)

print('Nodes:', k_shell_subgraph.nodes())
print('Edges:', k_shell_subgraph.edges())
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