Organizers: Dounia Lotfi, Mohammed V University, Morocco, Ahmed Drissi El Maliani, Mohammed V University, Morocco, Mohamed El Hassouni, Mohammed V University, Morocco
Email: d.lotfi@um5r.ac.ma
Complex networks provide a powerful framework for modeling and analyzing interconnected systems arising in social, biological, technological,
communication, and information domains. Recent advances in applied mathematics, numerical analysis, scientific computing, optimization, and
artificial intelligence have significantly improved our ability to understand, predict, and control the behavior of large-scale complex systems. The MOCNA symposium aims to bring together researchers working at the intersection of network science, applied mathematics, numerical methods, and machine learning. The symposium will provide a forum for presenting recent theoretical advances, computational approaches, and practical applications related to the analysis, modeling, simulation, prediction, and optimization of complex networks.
Topics of interest include, but are not limited to:
* Complex network modeling and analysis
* Graph theory and network science
* Community detection and graph clustering
* Link prediction in complex networks
* Dynamic and temporal networks
* Graph neural networks and graph learning
* Network optimization and control
* Scientific computing for network analysis
* AI and machine learning for complex systems
* Biomedical, biological, communication, and transportation networks
* Network security and cybersecurity applications
* Healthcare network analytics