<｜begin▁of▁sentence｜>### Instruction:
As a Construction Manager overseeing a large-scale project, you have been tasked with analyzing the collaborative relationships within the construction teams. Using network science principles, you seek to uncover community structures within the teams to better understand their collaboration patterns. Can you utilize the Louvain method from the cdlib library to perform community detection on the Coauthorships in network science graph (netscience.gml) and visualize the network graph with node colors representing the discovered communities?
### Response:
import networkx as nx
from cdlib import algorithms, viz

# Load the Coauthorships network science graph
G = nx.read_gml('netscience.gml')

# Perform community detection using the Louvain method
communities = algorithms.louvain(G)

# Get the spring layout positions for the graph
positions = nx.spring_layout(G)

# Plot the network with node color coding for the detected communities
viz.plot_network_clusters(G, communities, positions)
<|EOT|>
