<｜begin▁of▁sentence｜>### Instruction:
Given a graph which you can load from 'network.gml', assuming it has an edge attribute named 'weight' and a vertex attribute named 'vertex_weight,' can you use the Infomap method in igraph to find the community structure of the network? Additionally, specify the number of trials to partition the network as 10. Print out the membership vector and codelength.
### Response:
import igraph as ig

# Load the graph
filename = 'network.gml'
g = ig.Graph.Read_GML(filename)

# Find the community structure
edge_weights = 'weight' # Assuming there is an edge attribute named 'weight'
vertex_weights = 'vertex_weight' # Assuming there is a vertex attribute named 'vertex_weight'
trials = 10

# Using the Infomap method to detect communities
membership, codelength = g.community_infomap(edge_weights=edge_weights, vertex_weights=vertex_weights, trials=trials)

# Print the membership vector and codelength
print(f'Memberships: {membership}')
print(f'Codelength: {codelength}')
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