<｜begin▁of▁sentence｜>### Instruction:
As a Diversity and Inclusion Consultant, you have been tasked with advising a large tech company on how to enhance diversity within its employee network. The company possesses a detailed graph representation of its workforce interactions stored in a GML file named 'as-22july06.gml'. Your objective is to utilize the 'mod_m' community detection algorithm available in the cdlib library to identify local optimal community structures starting from a specific source vertex identified within the company's network. Furthermore, you are requested to generate a JSON representation of the resulting communities for further analysis and decision-making.
### Response:
from cdlib import algorithms
import networkx as nx

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

# Apply the mod_m community detection algorithm starting from a given source node
source_node = 0 # assuming node '0' exists in the graph
communities = algorithms.mod_m(G, source_node)

# Convert the communities to a JSON object
communities_json = communities.to_json()
print(communities_json)
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