<｜begin▁of▁sentence｜>### Instruction:
As a Virtual Reality Developer, you're tasked with crafting a VR experience that showcases the interconnected network of a community of gamers and the collaborations they undertake. You must construct an immersive 3D environment where players can explore the collective's web of alliances, visualized by nodes that represent the individual players and the threads that bind them – the edges weighted with the strength of their partnerships. How would you employ NetworkX to engineer a virtual representation of this intertwined network, ensuring each gamer is a vertex in this shared space and the ties that connect them are represented with the proportional magnitude of their collaborations?
### Response:
from graspologic.pipeline import GraphBuilder
import networkx as nx

# Initialize the GraphBuilder
gb = GraphBuilder(directed=False)

# Add some edges with weights
gb.add_edge('node1', 'node2', weight=2)
gb.add_edge('node2', 'node3', weight=3)
gb.add_edge('node3', 'node1', weight=1)

# Build the graph
g, id_map, id_list = gb.build()

# Use networkx to visualize the graph (optional)
nx.draw(g, with_labels=True, labels={node: id for node, id in enumerate(id_list)})

# Print the graph
print(g.edges(data=True))
<|EOT|>
