Network Metric

Network metrics quantify the structural properties of interconnected systems, aiming to understand how these properties relate to system function and behavior. Current research focuses on applying network metrics in diverse fields, leveraging machine learning models (including graph neural networks and deep learning architectures) to predict system outcomes (e.g., soccer match results, cyber risks, or power grid stability) based on network structure and other relevant data. This interdisciplinary approach offers valuable insights into complex systems, improving prediction accuracy and providing a deeper understanding of underlying mechanisms in various domains, from social networks to technological infrastructure.