<｜begin▁of▁sentence｜>### Instruction:
Given a weighted graph with edges [(0, 1), (1, 2), (2, 3), (0, 3), (3, 4), (4, 5), (5, 3)] and corresponding weights [1, 2, 1, 3, 1, 2, 1], can you use the community_spinglass function from igraph to identify the community structure?
### Response:
from igraph import Graph

# Create a graph with edge weights
edges = [(0, 1), (1, 2), (2, 3), (0, 3), (3, 4), (4, 5), (5, 3)]
weights = [1, 2, 1, 3, 1, 2, 1]
g = Graph(edges=edges)
g.es['weight'] = weights

# Find the community structure
communities = g.community_spinglass(weights='weight', spins=4)

# Print the membership of nodes in communities
print(communities.membership)
# Print the modularity score
print(communities.modularity)
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