About

The Center for Complex Networks and Systems Research (CNetS) focuses on fostering interdisciplinary research in all areas related to complex networks and systems, computational social science, and data science. We mine, model, and analyze complex systems and networks, producing high-impact and high-visibility research that applies, and occasionally develops, AI approaches to a wide range of topics: from modeling online diffusion and influence to detecting social bots and online manipulation, and from science of science to climate studies and a range of health-related topics.

Network Science Work with some of the world's leading experts to unravel the community structure, robustness, multi-layer architecture, functions, and dynamical processes of complex networks.

Computational Social Science Use large-scale computational models and big data analytics to study psychological, cognitive, behavioral, and social phenomena at global scales, such as the factors that shape public and mental health and the diffusion of information and misinformation in social media.

Biomedical Complexity Mine health, social media, and omics data sources to study biomedical phenomena from molecular pharmacology to ecosocial resilience, and design effective disease intervention strategies.

Misinformation and Social Media Unite data scientists and journalists in studying the role of media and technology in society, and building tools to analyze and counter disinformation and manipulation on social media.

Science of Science Analyze massive datasets of scientific output to quantify impact, model citation and collaboration dynamics, and predict emerging trends.

Biological and Artificial Intelligence Explore neural network structure and dynamics, and study how complex behaviors emerge from interactions between brain, body, and environment.