<｜begin▁of▁sentence｜>### Instruction:
As a brand strategist, you've been tasked with analyzing the network of customer interactions within a loyalty program for a retail company. You've gathered data on the connections between five distinct customer groups (A, B, C, D, and E) and have classified each group with a loyalty type (1, 2, 1, 3, 1) based on their purchase behaviors. Now, you've been asked to calculate the assortativity of the loyalty program graph based on these loyalty types to better understand the level of homophily or heterophily within customer interactions.
### Response:
from igraph import Graph

# Create a simple undirected graph
vertices = ['A', 'B', 'C', 'D', 'E']
edges = [(0, 1), (0, 2), (0, 3), (0, 4), (1, 2)]
g = Graph(edges=edges)

# Assign vertex types (eg. could represent categories or groups)
types = [1, 2, 1, 3, 1]
g.vs['type'] = types

# Calculate the assortativity based on the 'type' vertex attribute
assortativity_coefficient = g.assortativity(types1='type', directed=False)
print('Assortativity Coefficient:', assortativity_coefficient)
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