The Center for Complex Networks (CCNet) conducts pioneering research in the study of complex systems, where multiple interacting agents lead to large-scale, often unpredictable behaviors. Through the use of advanced data analysis techniques, we aim to understand these interactions and predict future outcomes. Our research integrates knowledge from diverse fields, including physics, mathematics, computer science, neuroscience, and social sciences, to address key challenges in areas such as finance, social media, and brain networks.

With the advent of complexity science, network theory, and artificial intelligence, our understanding of the modern world has been transformed. The research focus of CCNet includes:

Complex network theory and its applications to economic, social, and neuroscience networks

The physics of artificial intelligence, utilizing complexity theory and inverse solution methods

By fostering interdisciplinary collaboration, CCNet is committed to uncovering new insights and developing innovative solutions to tackle some of the most pressing issues facing society today.

Center for Complex Networks

Org chart

Teams

Offices