<｜begin▁of▁sentence｜>### Instruction:
Given a complete graph with 5 nodes, how do we compute the generalized degree for each node, which indicates the number of edges connected to a node that participate in a certain number of triangles, using the NetworkX library? And how can we confirm the number of triangles attached to node 0 from its generalized degree?
### Response:
import networkx as nx

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

# Compute the generalized degree for node 0
gen_degree_node_0 = nx.generalized_degree(G, 0)
print(gen_degree_node_0)
# Output: Counter({3: 4})

# Compute the generalized degrees for all nodes
gen_degrees = nx.generalized_degree(G)
print(gen_degrees)
# Output: {0: Counter({3: 4}), 1: Counter({3: 4}), 2: Counter({3: 4}), 3: Counter({3: 4}), 4: Counter({3: 4})}

# To recover the number of triangles attached to node 0
k1 = nx.generalized_degree(G, 0)
num_triangles_node_0 = sum([k * v for k, v in k1.items()]) / 2
print(num_triangles_node_0 == nx.triangles(G, 0))
# Output: True
<|EOT|>
