March 19, 2014
Facebook data scientist Lada Adamic reveals how information spreads on Facebook
On many social networks such as Facebook and Twitter, resharing or reposting functionality allows users to share other people’s content with friends or followers. As content is reshared from user to user, large cascades of reshares can form. Lada Adamic will reveal how Facebook reshare cascades are formed and discuss how they can be predicted based on e.g. content, author, and diffusion structure.
Lada A. Adamic is a data scientist at Facebook and an associate professor in the School of Information and the Center for the Study of Complex Systems at the University of Michigan. Her research interests center on information dynamics in networks: how information diffuses, how it can be found, and how it influences the evolution of a network’s structure.