<｜begin▁of▁sentence｜>### Instruction:
As an organizational psychologist, you've been tasked with enhancing collaboration within a large corporate network. The network consists of interconnected blogs that represent different political viewpoints. Using the Louvain method in cdlib, you need to identify communities within the network and calculate the average embeddedness of nodes within each community to gauge their cohesion. This analysis will provide valuable insights into the effectiveness of information flow and cooperation among various political viewpoints within the organization's network.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Load the graph
G = nx.read_gml('polblogs.gml')

# Run community detection algorithm
communities = algorithms.louvain(G)

# Evaluate average embeddedness
avg_embeddedness = evaluation.avg_embeddedness(G, communities)

# Print the average embeddedness value
print(avg_embeddedness.score)
<|EOT|>
