Social and Information Networks: Structure

This lecture covers the structure of social and information networks, including models for social and technical systems, key properties like giant components and clustering, the formation of ties in social networks, and the impact of strong and weak ties. It also discusses the emergence of giant components in random graphs, the connectivity of G(n,p) models, and the importance of clustering and short paths in network analysis.