<｜begin▁of▁sentence｜>### Instruction:
Imagine you are evaluating the structure of a new investment network where various nodes represent entities and edges represent financial transactions between them. The connections are laid out as follows: transactions from entity 0 to entities 1 and 2, from entity 1 to entities 3 and 4, and from entity 2 to entities 5 and 6. In assessing the flow of investments and influence within this network starting from the primary investor, entity 0, could you detail the chain of investment sources for each entity? That is to say, by tracing a path of transactions using a method akin to a breadth-first analysis, could you identify the immediate investor entities preceding each individual entity within this financial network?
### Response:
import networkx as nx

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

# Use bfs_predecessors
pred = dict(nx.bfs_predecessors(G, source=0))

print(pred)
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