Date: Friday, October 18, 2019
Location: 1084 East Hall (3:00 PM to 4:00 PM)
Title: Understanding social processes with empirical design and statistical inference (or, social networks, data, and you)
Abstract: The structure of social networks reflects important social processes, such as status, communities, and inequalitybut separating signal from noise is nontrivial in social data. Statistical inference provides one point of entry: unpacking the assumptions behind random graph models, we can understand what tools will help us uncover meaningful social structure from noise. The empirical design of networks problems, however, is often overlooked but fundamentally changes the space of problems available. I will discuss singlegraph (N=1) problems and some of the surprising challenges behind manygraph (N >> 1) problems. Using random graph models, statistical inference, and empirical design, I will present a brief overview of how to understand networked processes in real systemsfrom families and firms to food webs and Facebook.
Files:
Speaker: Abbie Jacobs
Institution: University of Michigan, School of Information and Complex Systems
Event Organizer: Charlie Doering doering@umich.edu
