a. Prerequisites: introduction to network analysis or consent of the instructor Advanced statistical methods for analyzing social network data, focusing on testing hypotheses about network structure (e.g. reciprocity, transitivity, and closure), the formation of ties based on attributes (e.g. homophily), and network effects on individual attributes (social influence or contagion models). Statistical models (blockmodeling, diffusion, etc.)
The lectures will be online using Zoom from 17:00 till 20:15 (21:00) (Moscow time):
https://us06web.zoom.us/j/86953943473?pwd=Y3NMSGk5WlljNXFYTFdsQkJ6SlRwZz09
Vladimir Batagelj is inviting you to a scheduled Zoom meeting. Topic: Lecture Time: This is a recurring meeting Meet anytime Join Zoom Meeting https://us06web.zoom.us/j/86953943473?pwd=Y3NMSGk5WlljNXFYTFdsQkJ6SlRwZz09 Meeting ID: 869 5394 3473 Passcode: 778851
on the following days: August 15-18 and August 22-26.