<｜begin▁of▁sentence｜>### Instruction:
In the dynamic world of social dynamics at play within the renowned Karate Club, akin to ensuring the viewers at home can discern the player stats in a gripping playoff, we aim to craft a visual playbook. This playbook isn't showcasing touchdowns or three-pointers – instead, it's highlighting the networking prowess of each club member. 

Our objective is to bring you a graphic representation of the club's hierarchy by using NetworkX, our go-to playbook designer in the tech league. Much like jerseys help differentiate teams, we're looking to assign a unique color theme to each member's node on our social interaction field. But these aren't arbitrary choices. The colors will correspond with the degree centrality stats of each player in this social game, delineating who's the MVP when it comes to making connections. 

We need these colors to stand out against a strategy board – or, in less sportsman's terms, a light background. The visualization will give fans at home an instant replay of who interacts the most in the Karate Club, with the hue intensity reflecting each member's centrality to the network’s offensive and defensive strategies. Stick around as we break down the game and paint a picture of this intricate social sport.
### Response:
import networkx as nx
from graspologic.layouts import sequential_colors

# Create a graph
G = nx.karate_club_graph()

# Assign a value to each node
node_values = {node: val for node, val in enumerate(nx.degree_centrality(G).values())}

# Generate a sequential color mapping
node_colors = sequential_colors(node_values, light_background=True)

# Print the colors assigned to each node
for node, color in node_colors.items():
    print(f'Node {node}: {color}')
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