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 applied AI, computational social science, network science, collective intelligence, school coexistence, decision intelligence, and business analytics.