<｜begin▁of▁sentence｜>### Instruction:
Given a graph with edge set [('A', 'B'), ('A', 'C'), ('A', 'D'), ('B', 'C'), ('C', 'D'), ('D', 'E'), ('E', 'F'), ('E', 'G')], how can we use NetworkX to calculate the dispersion from node A to other nodes in the graph?
### Response:
import networkx as nx

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

# Calculate the dispersion between node A and all other nodes
dispersion_A = nx.dispersion(G, u='A')

# Print the dispersion scores for node A
print('Dispersion from node A to other nodes:')
for target, score in dispersion_A.items():
    print(f'{target}: {score}')
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