<｜begin▁of▁sentence｜>### Instruction:
As a Dance Instructor, imagine you have a group of students learning a complex choreography for an upcoming dance competition. To ensure that the performance is cohesive and visually appealing, you decide to analyze the group dynamics using a specialized tool called "Louvain method in cdlib." By applying this method to the dance group's interactions captured in a file named "hep-th.gml," you aim to detect the community structure within the group. Subsequently, you are interested in calculating the size (number of students) in each detected community to better understand how the dancers naturally group together based on their interactions and movements on the dance floor.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Loading the High-energy theory collaborations graph
g = nx.read_gml('hep-th.gml')

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

# Calculate the size of the detected communities
community_sizes = evaluation.size(g, communities)

# Printing community sizes
print(community_sizes)
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