<｜begin▁of▁sentence｜>### Instruction:
Imagine we're investigating the symbiotic relationships within a microbial community, symbolized as a network for easier analysis. The community interactions are represented as connections or "edges" between different microbial species, which are the "nodes" in our network. Originally, the recorded interactions within this micro-ecosystem are denoted by the edge set [(1, 2), (3, 4), (2, 3), (4, 5)]. 

Could you conceptualize a scenario where we explore the potential variations in this community by randomly rearranging the species—essentially shuffling the microbial species while preserving their interconnections? This analysis could provide insights into the versatility and adaptability of our microbial network and inform our understanding of microbial ecology and evolutionary biology.
### Response:
import networkx as nx
from networkx.algorithms import strategy_random_sequential

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

# Get a random permutation of the nodes
random_permutation = strategy_random_sequential(G)

print('Random permutation of the nodes:', random_permutation)
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