<｜begin▁of▁sentence｜>### Instruction:
As a medical illustrator, you have been asked to create a visual representation of the community structure within a network using the Leiden algorithm with a modularity objective function. The network data is stored in a file called network.gml. In this representation, you should depict the communities within the network and include information about the quality of the partition. This visual representation will aid in understanding the network's structure and facilitate further analysis of the community dynamics, with potential applications in medical research and practice.
### Response:
from igraph import Graph

# Read the graph from a .gml file
graph = Graph.Read_GML('network.gml')

# Find the community structure using the Leiden algorithm
communities = graph.community_leiden(objective_function='modularity',
                                     weights='weight', resolution=1.0,
                                     beta=0.01, n_iterations=-1)

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

# Print the overall quality of the partition
print('Quality:', communities.quality)
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