<｜begin▁of▁sentence｜>### Instruction:
Certainly. Imagine we're preparing a case involving a contested network of contracts within a business structure. The central entity has 10 subsidiary agreements, each represented by a node in a star network configuration. Every contract (or edge) holds an equal value of importance, symbolized by a weight of 1. Our task is to assess the centrality of the main entity in relation to its subsidiaries using Panther similarity scores. How would we calculate these scores for the primary node in this network to determine its comparative influence or relatedness within this constellation of contracts? It's important to note that this is a conceptual inquiry into the network's structure and doesn't require the actual computation or evaluation of the similarity scores at this moment.
### Response:
import networkx as nx

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

# Calculate the Panther similarity for node 0 in graph G
similarity = nx.panther_similarity(G, 0)

# Print the similarity scores
print(similarity)
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