<｜begin▁of▁sentence｜>### Instruction:
While conducting a research project on political book networks, a professor is interested in using the Louvain algorithm in the cdlib library to identify communities within the dataset of US politics books ('polbooks.gml'). The professor also wants to calculate the average distance within the detected communities. Could you guide them on how to achieve this?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Create a graph from the 'polbooks' dataset
G = nx.read_gml('polbooks.gml')

# Apply the Louvain algorithm for community detection
communities = algorithms.louvain(G)

# Compute the average distance within communities
avg_dist = evaluation.avg_distance(G, communities)

# Print the result
print(f'Average distance within communities: {avg_dist}')
<|EOT|>
