<｜begin▁of▁sentence｜>### Instruction:
As a mortgage broker, you may encounter a scenario where you need to assess the level of homophily in a network of potential borrowers and lenders based on their financial attributes. In this case, you could calculate the assortativity coefficient of the network using the 'value' attribute of the network's nodes. This could provide insights into whether borrowers with similar financial attributes are more likely to connect with lenders who have similar financial attributes, helping you make more informed decisions when facilitating mortgage loans between borrowers and lenders.
### Response:
from igraph import Graph

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

# Assume vertices have a numeric attribute named 'value'
assortativity = g.assortativity('value', 'value')

# Print the assortativity coefficient
print(assortativity)
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