<｜begin▁of▁sentence｜>### Instruction:
As a network analyst working for a research laboratory, you have been entrusted with examining the collaborative relationships among high-energy theorists. You have access to a graph representing the collaborations in the field, which has been saved in a GML file named "hep-th.gml". To gain insights from this network, you have been requested to utilize the Louvain method in the cdlib API to identify distinct communities within the graph. Furthermore, you are required to determine the fraction of nodes within each community that have an internal degree greater than the median degree value. This analysis will shed light on the interconnectedness and structure of the high-energy theory collaborations.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph
G = nx.read_gml('hep-th.gml')

# Detect communities using the Louvain method
communities = algorithms.louvain(G)

# Compute the Fraction Over Median Degree for the detected communities
fomd = evaluation.fraction_over_median_degree(G, communities)

# Print the result
print(fomd.score)
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