<｜begin▁of▁sentence｜>### Instruction:
As a brand strategist, I often work with data to analyze and manage the branding strategies for businesses or organizations. In this case, I need to develop a visual representation of the connections between various nodes in a network. Specifically, I need to create a text representation of the adjacency matrix using the __repr__ method from the Matrix class to better understand the relationships between different nodes in the network. This will help me visualize the connectivity between various elements and make informed decisions to strengthen the brand's positioning and outreach.
### Response:
from networkx.linalg.graphmatrix import adjacency_matrix
import networkx as nx

# Create a graph
g = nx.Graph()
g.add_edges_from([(1, 2), (1, 3), (3, 4)])

# Get the adjacency matrix in the form of a Matrix object
matrix_obj = adjacency_matrix(g)

# Use the __repr__ method (which is invoked when you just type the object in interactive mode)
# This will give a text representation of the adjacency matrix
print(matrix_obj)
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