<｜begin▁of▁sentence｜>### Instruction:
As an Event Planner responsible for organizing a networking event for researchers in the field of high-energy theory, you have received a graph representing collaborations among attendees. This graph can be read from a GML file named hep-th.gml.

To ensure the networking event is engaging and productive, you are looking to utilize the pycombo function in the Community Detection Library (cdlib) to analyze the graph and identify distinct research communities within the network. Additionally, you aim to generate a JSON representation of the resulting NodeClustering object to visualize the identified communities and facilitate targeted networking opportunities among the attendees.
### Response:
import networkx as nx
from cdlib import algorithms

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

# Apply the pycombo community detection algorithm
coms = algorithms.pycombo(G, weight='weight', max_communities=None,
                        modularity_resolution=1.0, num_split_attempts=0,
                        start_separate=False, treat_as_modularity=False,
                        random_seed=42)

# Convert the resulting NodeClustering object to json
coms_json = coms.to_json()
print(coms_json)
<|EOT|>
