<｜begin▁of▁sentence｜>### Instruction:
Imagine we're examining a financial network representing two distinct investment groups, each consisting of three high-value clients. These groups are interlinked through a central transaction, essentially forming a robust financial structure akin to a barbell, but with no intermediary clients. We're interested in evaluating a strategic division of this network to understand potential risk distribution and to facilitate focused advisory services for each subset.

In the financial modeling realm, we can employ tools similar to those used in network analysis. NetworkX, a powerful library, has a function known as `spectral_bisection`. Utilizing this function, how might we effectively split our barbell-shaped financial network into two equally influential subnetworks, ensuring balanced advisory opportunities and risk management? 

Remember, the process should maintain the integrity of our original client groups with no individuals bridging between them, merely the transactional link that forms the barbell's 'handle,' our shared investment. Your insights on this analytical division could be invaluable for our strategic planning.
### Response:
import networkx as nx

# Create a barbell graph
G = nx.barbell_graph(3, 0)

# Perform spectral bisection on the graph
bisection = nx.spectral_bisection(G, weight='weight', normalized=False, tol=1e-8, method='tracemin_pcg', seed=None)

print('Bisection of nodes:', bisection)
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