Complex Networks and Systems

Subareas

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.

Science of science

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

Cognitive and neural systems

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

Biomedical complexity

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

Associated centers, groups, and labs

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