<｜begin▁of▁sentence｜>### Instruction:
Given a star graph with 11 nodes (one central node connected to 10 other nodes), how can you compute the Panther similarity for the central node (node 0) in the graph with respect to other nodes, using NetworkX's 'panther_similarity' function with the default parameters?
### Response:
import networkx as nx

# Create a star graph with 11 nodes
G = nx.star_graph(10)

# Compute the Panther similarity for node 0 in graph G,
# with default parameters k, path_length, c, delta, eps and weight
similarity_scores = nx.panther_similarity(G, source=0)

# Print the similarity scores
for target, score in similarity_scores.items():
    print(f'Node 0 has Panther similarity {score:.4f} with node {target}')
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