<｜begin▁of▁sentence｜>### Instruction:
As an ENT specialist who diagnoses and treats disorders of the ear, nose, and throat, imagine you have a scenario where you are analyzing the interconnectedness of symptoms in patients with sinus infections. You have collected data on the symptoms reported by each patient, including congestion, facial pain, post-nasal drip, and headache. Using this symptom data, you intend to apply the community_label_propagation method in igraph to identify distinct clusters of symptoms that commonly occur together, potentially indicating different underlying causes or severities of sinus infections.
### Response:
import igraph as ig

# Create a graph
edges = [(0,1), (1, 2), (2, 3), (3, 4), (4, 0), (0, 2), (1, 3)]
g = ig.Graph(edges=edges)

# Find the community structure of the graph using label propagation
communities = g.community_label_propagation()

# Print the community structure
print(communities)
<|EOT|>
