<｜begin▁of▁sentence｜>### Instruction:
In the world of relationship dynamics, consider a network, much like a web of interpersonal connections within a group of individuals. The ties in this network are represented by partnerships, much like bonds that may exist between couples you counsel. The connections in this specific network are as follows: a bond between individual 0 and 1, another bond between 0 and 2, then between 1 and 2, moving on to one between 1 and 3, another between 1 and 4, and finally, a bond connecting 4 and 5.

Now, in our analogy, an "AT-free" graph would be akin to a relationship framework devoid of a specific, complex form of triangle that can contribute to tension—something we might refer to as a destabilizing element in a couple's relationship harmony that we aim to resolve in therapy sessions.

So with this narrative in mind, suppose we wish to analyze this network to ensure it is free of these destabilizing triangles, thus ensuring smoother interactions within the group. Can we probe into this network using the analytical tool known as NetworkX to confirm the absence of these particular triangles, effectively ensuring the network represents a stable web of relationships?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([(0, 1), (0, 2), (1, 2), (1, 3), (1, 4), (4, 5)])

# Check if the graph is AT-free
is_at_free = nx.is_at_free(G)
print('Is the graph AT-free?', is_at_free)
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