<｜begin▁of▁sentence｜>### Instruction:
{'Description': 'Given a social network graph represented by the Karate Club graph in NetworkX, and two groups of members within the club identified by their node numbers, calculate the edge expansion between the two groups. The first group consists of nodes [0, 1, 2, 3, 4, 5] and the second group consists of nodes [32, 33]. The edge expansion will determine the ratio of the number of edges that must be cut to separate the two groups relative to the size of the smaller group.', 'Graph Data': "The graph used is NetworkX's built-in Karate Club graph, which models the friendships between 34 members of a karate club at a US university in the 1970s.", 'Node Sets': 'Group S: [0, 1, 2, 3, 4, 5], Group T: [32, 33]', 'Problem': "The problem is to find the cut that separates two groups within a graph and to calculate the edge expansion, which is the ratio of the cut size to the minimum group size. This measure can provide insights into the 'bottleneck' of communication or connectivity between the two groups."}
### Response:
import networkx as nx

# Create a graph
G = nx.karate_club_graph()

# Define two sets of nodes
S = {0, 1, 2, 3, 4, 5}
T = {32, 33}

# Calculate the edge expansion between sets S and T
expansion = nx.edge_expansion(G, S, T)

print('The edge expansion between the two sets S and T is:', expansion)
<|EOT|>
