Network Science and Complex Systems
This course introduces network science as a technical and conceptual language for studying social, technological, biological, and organizational systems. Students work with graph construction, centrality, communities, null models, diffusion, link prediction, and graph-based machine learning.
The public course site is available at networks.criss-lab.com.
Cristian Candia
Associate Professor and Head of CRiSS-LAB, School of Engineering and School of Government, Universidad del Desarrollo, Chile.
My research interests include collective behavior, collective and artificial intelligence, network science, and business analytics.