<｜begin▁of▁sentence｜>### Instruction:
Imagine we're tasked with creating a stunning wildlife exhibition where we want to present a series of interconnected species in a way that highlights their interactions in an ecosystem. Think of each species as a point in a networked display, each with connections illustrating its relationship to the other species. Now, for the visual appeal, we're considering arranging these points starting from the species with the most relationships down to those with the fewest.

Our current network of species relationships is rather intricate, with connections like those between the Bear (1) and the Wolf (2), the Bear (1) and the Deer (3), the Wolf (2) and the Deer (3), and so forth, culminating in a loop that ties back to the Bear (1) from the Falcon (6). 

In the language of our profession, we're carefully preserving the representation of this ecosystem by placing the species on the display in a certain sequence. We start with the creature that plays the most roles within its web of life, and finish with the one involved in the fewest personal encounters. 

Could you advise on how to organize these wildlife specimens, ensuring that those integral species with fewer connections are placed at the end of our display sequence, thus helping the audience to appreciate the complexity of relationships?
### Response:
import networkx as nx

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

# Apply the smallest last strategy
ordering = list(nx.coloring.strategy_smallest_last(G))

print('Smallest last ordering:', ordering)
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