<｜begin▁of▁sentence｜>### Instruction:
Given a path graph with 10 nodes created using NetworkX, how would one apply the Girvan–Newman method to detect the first tuple of communities using the most central edge based on edge betweenness centrality?
### Response:
import networkx as nx
import itertools

# Create a graph
G = nx.path_graph(10)

# Function that will be used to determine the most valuable edge
most_central_edge = nx.edge_betweenness_centrality

# Run Girvan–Newman method
comp = nx.community.girvan_newman(G, most_valuable_edge=most_central_edge)

# Get the first tuple of communities
first_community = tuple(sorted(c) for c in next(comp))

# Convert to a list for easier visualization
first_community_list = list(first_community)

print('First community:', first_community_list)
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