<｜begin▁of▁sentence｜>### Instruction:
As a telecommunications technician, you are tasked with designing a network topology based on specific type distributions and connection probabilities. Given the number of network nodes 'n', a distribution of node types 'type_dist', and a matrix 'pref_matrix' defining the connection probabilities between different types, the goal is to create a network graph using the Preference function in NetworkX. After creating the graph, a summary of the network should be printed out for review and analysis.
### Response:
from igraph import Graph

# Parameters
n = 100
# Assuming three types of vertices
# Each element corresponds to the probability of a vertex being of type 0, 1, or 2
# Should sum to 1

type_dist = [0.2, 0.5, 0.3]
# Probability matrix for connections between different types
# Pref_matrix[i][j] corresponds to the connection probability between type i and type j
pref_matrix = [[0.1, 0.05, 0.02],
               [0.05, 0.1, 0.03],
               [0.02, 0.03, 0.1]]

# Create a preference graph
preference_graph = Graph.Preference(n=n, type_dist=type_dist, pref_matrix=pref_matrix, attribute='type', directed=False, loops=False)

# Print summary of the graph
print(preference_graph.summary())
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