<｜begin▁of▁sentence｜>### Instruction:
Imagine you are working on a network analysis project to understand the potential spread of a novel therapeutic agent within a connected group of patients. You've modeled this network using a representation similar to a barbell, consisting of two tightly-knit patient communities (cliques), each with three patients, that are connected by a single treatment pathway.

In this patient interaction model, you have two distinct communities S and T, where community S includes patients 0, 1, and 2, and community T comprises patients 3, 4, and 5. As part of your research, you are interested in determining the number of potential pathways through which the therapeutic agent can move between these two communities.

Can you refine your analysis and inform us about the magnitude of possible therapeutic transitions (the size of the cut) between the patient communities S and T within this network model? It's essential to quantify this to assess the efficacy of the therapeutic agent's spread from one cliqued patient group to another.
### Response:
import networkx as nx

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

# Define two sets of nodes
S = {0, 1, 2}
T = {3, 4, 5}

# Calculate the cut size between sets S and T
size = nx.cut_size(G, S, T)

print('Cut size:', size)
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