<｜begin▁of▁sentence｜>### Instruction:
As a meeting, convention, and event planner, you have been tasked with organizing the annual college football coaches' convention. Your responsibilities include managing all logistical and operational aspects, such as venue selection, vendor contracting, program scheduling, budgeting, registration, marketing, and onsite coordination, to ensure a successful and memorable event.

To enhance the experience for the coaches and attendees, you want to leverage data analytics to understand the network of college football teams and their relationships. You have access to a graph file named 'football.gml' containing the American College football network. Using the Louvain method in the cdlib library, you want to perform community detection to identify clusters of football teams with strong connections. Additionally, you need to compute the average internal degree of the detected communities to gain insights into the interactions within each group.

Your goal is to utilize this information to create targeted networking opportunities and discussions during the convention, ultimately fostering collaboration and strategic partnerships within the college football community.
### Response:
import networkx as nx
from cdlib import algorithms
from cdlib import evaluation

# Read the American College football network
G = nx.read_gml('football.gml')

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

# Compute the average internal degree for the detected communities
avg_degree = evaluation.average_internal_degree(G, c)

print(avg_degree)
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