<｜begin▁of▁sentence｜>### Instruction:
Given a graph whose edge set is [('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D'), ('D', 'E'), ('E', 'F'), ('E', 'G'), ('F', 'G')], compute the group closeness centrality for the group of nodes ['C', 'D', 'E'].
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
# Add edges
G.add_edges_from([
    ('A', 'B'), ('A', 'C'), ('B', 'C'),
    ('C', 'D'), ('D', 'E'), ('E', 'F'),
    ('E', 'G'), ('F', 'G')])

# Define the group of nodes for which to compute the group closeness centrality
S = ['C', 'D', 'E']

# Compute the group closeness centrality
group_closeness = nx.algorithms.centrality.group_closeness_centrality(G, S)

print('Group Closeness Centrality:', group_closeness)
<|EOT|>
