<｜begin▁of▁sentence｜>### Instruction:
As a network analysis specialist, imagine you are working with a team of researchers who are studying social interactions among the characters in the novel "Les Miserables." They have provided you with a GML file named lesmis.gml, which contains the social network graph representing these interactions.

The researchers are interested in identifying distinct communities within this social network using the Louvain community detection algorithm. Additionally, they want you to compute the hub dominance for each of these communities to gain insights into the influential characters.

As part of your role in this research project, you would need to utilize networkx, a Python library for the analysis of complex networks, to implement the Louvain algorithm and compute hub dominance within the identified communities in the Les Miserables social network.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Load the Les Miserables graph
G = nx.read_gml('lesmis.gml')

# Detect communities in the graph using the Louvain algorithm
communities = algorithms.louvain(G)

# Evaluate Hub Dominance of the detected communities
hub_dom = evaluation.hub_dominance(G, communities)
print(hub_dom)
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