CONNETS Lab investigates complex interconnected systems through three complementary perspectives.
Our research spans Network Science, Computer Networks, and Artificial Intelligence, combining theoretical models, data-driven approaches, and computational methods to understand, design, and improve networked systems.
Networks provide a powerful framework to model complex systems composed of interacting entities. Our research focuses on: temporal networks multilayer and multidimensional networks social network analysis information diffusion collective behavior evolution of online communities This research area is led by Sabrina Gaito.
Learn moreWe study the design, analysis, and optimization of modern communication systems. Topics include: wireless and mobile networks next-generation network architectures edge and cloud computing distributed systems network measurements mobility analysis This research area is led by Christian Quadri.
Learn moreArtificial Intelligence provides new tools to learn from complex relational data. Our research focuses on: graph neural networks graph representation learning temporal graph learning machine learning for complex networks AI methods for social and technological systems This research area is led by Matteo Zignani.
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