<｜begin▁of▁sentence｜>### Instruction:
Given a graph representing the relationships between individuals in a karate club, where nodes represent members and edges represent their interactions, how can we use graspologic's layout_tsne function to generate a 2D layout for visualization purposes? The aim is to plot these individuals using a TSNE layout with specified parameters such as perplexity, number of iterations, maximum edges, and edge weight attribute. The resulting visualization should allow us to observe the community structures within the club.
### Response:
import networkx as nx
from graspologic.layouts import layout_tsne

# Create a graph G
G = nx.karate_club_graph()

# Generate the layout using TSNE
largest_cc, positions = layout_tsne(graph=G, perplexity=30, n_iter=1000, max_edges=10000000, weight_attribute='weight', random_seed=42, adjust_overlaps=True)

# Output the positions of the nodes
for position in positions:
    print(f"Node {position.node_id} - x: {position.x}, y: {position.y}, size: {position.size}, community: {position.community}")
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