<｜begin▁of▁sentence｜>### Instruction:
As a political scientist, you may be using network analysis to understand and visualize the connections between political entities. 

Now, imagine you have a dataset containing information on political alliances between countries, represented as a list of lists where each list represents a row of a matrix. Using the networkx library in Python, you can initialize a graph to represent this matrix and then print out each row to visualize the interconnectedness between countries in your dataset.
### Response:
from igraph.datatypes import Matrix

# Initialize a matrix with predefined data
matrix_data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
matrix = Matrix(matrix_data)

# Print the matrix
for row in matrix:
    print(row)
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