<｜begin▁of▁sentence｜>### Instruction:
As a literary agent, imagine representing an author who has written a book about the interconnectedness of relationships and communities. You are interested in examining the modularity of the various communities within the book's network. You have access to a digital representation of the network structure of the book's characters and their relationships, stored in a file called "network.gml." You will use this data to create a clustering object where each character is initially considered its own cluster, and then calculate the modularity of this initial clustering.
### Response:
from igraph import Graph, VertexClustering

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

# Define the membership list, one cluster per vertex for demonstration purposes
membership = [i for i in range(g.vcount())]

# Create a VertexClustering object with the given membership
vc = VertexClustering(g, membership=membership)

# Print the modularity of the created clustering
print('Modularity:', vc.modularity)
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