<｜begin▁of▁sentence｜>### Instruction:
As an Event Planner, you have been tasked with organizing a large conference for professionals in the field of network analysis. To ensure that attendees have the opportunity to connect and collaborate with others in their field, you need to use a network analysis tool to identify and assign individuals to specific topic-based communities.

You will be working with a dataset called "as-22july06.gml," which contains the Internet Graph representing the connections between different nodes. Your task is to utilize the community detection algorithm from the cdlib library to identify communities within the network and then display the resulting communities that each node belongs to. This will help to create a more interactive and engaging experience for conference attendees, as they will have the opportunity to connect with peers who share similar interests and expertise.

By effectively leveraging network analysis tools, you can ensure the success and meaningful impact of the conference by facilitating valuable connections and collaborations among attendees.
### Response:
from cdlib import algorithms
import networkx as nx

# Create a graph from file
G = nx.read_gml('as-22july06.gml')

# Apply the graph entropy community detection algorithm
communities = algorithms.graph_entropy(G)

# Extracting the clustering information
node_clusters = communities.to_node_community_map()

# Print the resulting node-community mappingor node, commun in node_clusters.items():
    print(f'Node {node} belongs to community {commun}')
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