<｜begin▁of▁sentence｜>### Instruction:
Imagine you are examining a simplified model of an economic network, where nodes represent entities such as businesses or consumers, and the connecting edges signify direct transactions or relationships between them. The model is currently expressed as a tree graph, with the relationships mapped out as transactions between different entities: (0 to 1), (0 to 2), (0 to 3), with further connections (1 to 4), (1 to 5), and (3 to 6), (3 to 7). Here, the central node (node 0) could be likened to the central bank or a key market player from which other entities branch out directly or indirectly.

Could you represent this economic network structure in a hierarchically nested tuple format, using the central entity (node 0) as the primary root of the model? The model should maintain a canonical form, allowing for clear interpretation and analysis of the network's structure and the flow of transactions within.
### Response:
import networkx as nx

# Create a graph representing a tree
T = nx.Graph()
T.add_edges_from([(0, 1), (0, 2), (0, 3), (1, 4), (1, 5), (3, 6), (3, 7)])

# Define the root of the tree
root = 0

# Convert the tree to a nested tuple
nested_tuple = nx.to_nested_tuple(T, root, canonical_form=True)

print(nested_tuple)
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