<｜begin▁of▁sentence｜>### Instruction:
Given a directed graph with edge set [('A', 'B'), ('B', 'C'), ('C', 'A'), ('D', 'B')], can you compute the group in-degree centrality for the group of nodes ['A', 'B'] using NetworkX?
### Response:
import networkx as nx

# Create a directed graph
DG = nx.DiGraph()
DG.add_edges_from([('A', 'B'), ('B', 'C'), ('C', 'A'), ('D', 'B')])

# Define the group of nodes for which we want to find the group in-degree centrality
S = ['A', 'B']

# Calculate the group in-degree centrality
centrality = nx.group_in_degree_centrality(DG, S)

print('Group in-degree centrality:', centrality)
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