<｜begin▁of▁sentence｜>### Instruction:
As a UI designer, you're tasked with optimizing the user interaction and experience for a new social networking platform. The development team has provided you with the edge set of the network representing user connections. Using the community_edge_betweenness function in igraph, you need to detect the community structure based on the edge betweenness and present the identified communities along with their modularity scores. This information will help improve the platform's user engagement and overall experience.
### Response:
from igraph import Graph

# Generate a network
edges = [(0, 1), (0, 2), (1, 2), (1, 3), (3, 4), (4, 5), (5, 3)]
g = Graph(edges=edges)

# Apply the community edge betweenness algorithm
communities, modularity = g.community_edge_betweenness(directed=False)
print(communities)
print(modularity)
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