MO-DMLHM: Multi-objective dynamic hypergraph modeling for cross-layer community detection in organizational networks

Key Points

• Effective community detection is achieved through a multi-objective dynamic hypergraph approach, enhancing network analysis.
• Key evidence includes significant improvements in detection accuracy and computational efficiency in network structure understanding.
• Observational analysis employed dynamic hypergraph modeling to identify community structures across various organizational networks.
• This approach highlights potential for improved strategies in organizational management and resource allocation challenges.