Social and Information Networks
A course on how networks underlie the social, technological, and natural worlds, with an emphasis on developing intuitions for broadly applicable concepts in network analysis. Topics include: introductions to graph theory, network concepts, and game theory; social networks; information networks; the aggregate behaviour of markets and crowds; network dynamics; information diffusion; popular concepts such as "six degrees of separation," the "friendship paradox," and the "wisdom of crowds."
Prerequisites & course information
Prerequisite: CSC263H1 / CSC265H1 / CSC263H5 / CSCB63H3 , STA247H1 / STA255H1 / STA257H1 / ECO227Y1 / STA237H1 / STAB52H3 / STAB57H3 , MAT223H1 / MAT240H1; Prerequisite:; Exclusion: CSCC46H3 . NOTE: Students not enrolled in the Computer Science Major or Specialist program at A&S, UTM, or UTSC, or the Data Science Specialist at A&S, are limited to a maximum of 1.5 credits in 300-/400-level CSC/ECE courses.; Exclusion:
Sources
- Course catalogue ↗2026-2027