<｜begin▁of▁sentence｜>### Instruction:
In the spirit of diplomatic collaboration, let's envisage we are in the process of mapping out communication channels within two distinct delegations. The first delegation is arranged in a radiating configuration with a central envoy, labeled as '0', who liaises directly with three other representatives, designated as '1', '2', and '3'. This forms a star-shaped network, emblematic of the central figure's pivotal role in information dissemination.

Simultaneously, we have a second delegation with a comparable star arrangement, wherein the principal delegate bears the marker '10' and is similarly connected to three associates, numbered '11', '12', and '13'. However, this cadre's intra-delegation communications are quantifiably more robust, with each counsel carrying twice the weight or influence in exchanges as those in the first group.

As we approach the construction of a comprehensive graph G, which will serve as a visual and analytical representation of these interactions, it would be judicious to integrate both star configurations while duly annotating the particular weight attribute for the second delegation's interconnections.

Upon successfully incorporating these structures within our diplomatic graph G, it would be most informative to review the assembled graph. I would like to suggest an orderly presentation of the graph's vertices and edges, with the latter's attributes meticulously detailed. This exercise will undoubtedly aid in our understanding of the communication dynamics at play and reinforce our mission to support and enhance diplomatic engagement.
### Response:
import networkx as nx

# Create a new graph
G = nx.Graph()

# Add a star with nodes 0, 1, 2, 3 where 0 is the center
nx.add_star(G, [0, 1, 2, 3])

# Add another star with nodes 10, 11, 12 and attribute weight=2
nx.add_star(G, [10, 11, 12], weight=2)

# Now let's print the nodes and edges with attributes
print('Nodes:', G.nodes(data=True))
print('Edges:', G.edges(data=True))
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