<｜begin▁of▁sentence｜>### Instruction:
Given a complete graph with 5 nodes, how can one compute the generalized degree for each node, and how is the number of triangles attached to a particular node (e.g., node 0) recovered using its generalized degree?
### Response:
import networkx as nx

# Create a complete graph with 5 nodes
G = nx.complete_graph(5)

# Get the generalized degree of node 0
node_zero_gen_degree = nx.generalized_degree(G, 0)
print(node_zero_gen_degree)

# Get the generalized degree of all nodes
all_nodes_gen_degree = nx.generalized_degree(G)
print(all_nodes_gen_degree)

# To recover the number of triangles attached to node 0 using its generalized degree
k1 = node_zero_gen_degree
node_zero_triangles = sum([k * v for k, v in k1.items()]) / 2
print(node_zero_triangles)
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