<｜begin▁of▁sentence｜>### Instruction:
As a school psychologist, you may need to analyze student relationships within a school environment, represented as a weighted graph depicting their interactions. Using NetworkX, you can determine the number of edges in the maximum weight matching to identify the most significant interactions among students. This analysis can contribute to implementing interventions and support strategies to enhance positive social connections and well-being within the school community.
### Response:
from networkx.algorithms.matching import max_weight_matching
import networkx as nx

# Create a weighted graph
G = nx.Graph()
G.add_edge('A', 'B', weight=1)
G.add_edge('B', 'C', weight=2)
G.add_edge('C', 'A', weight=3)

# Find the maximum weight matching in the graph
matching = max_weight_matching(G, maxcardinality=False)

# Create a Matching object
matching_obj = nx.algorithms.matching.Matching(matching)

# Get the number of edges in the matching
matching_size = len(matching_obj)
print('Number of edges in the matching:', matching_size)
<|EOT|>
