<｜begin▁of▁sentence｜>### Instruction:
Imagine you are an environmental engineer working on a project concerning the sustainability of interconnected ecosystems, which you've modeled as a cycle graph with 5 key habitats. To assess the resilience and stability of this ecological model, you've considered evaluating whether this cycle graph forms a strongly regular graph—a concept you're familiar with from network science as it can indicate uniform interactions across the habitats. For this evaluation, you would use the `is_strongly_regular` function from the NetworkX library. Could you detail how this function might assist in determining the level of regularity in the interactions among these five habitats within your cycle graph model?
### Response:
import networkx as nx

# Create a cycle graph with 5 vertices
G = nx.cycle_graph(5)

# Check if the graph is strongly regular
is_sreg = nx.is_strongly_regular(G)

print('Is the graph strongly regular?', is_sreg)
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