Research Scientist Manager
Lada Adamic leads the Computational Social Science group within Facebook's Core Data Science Team. Prior to joining Facebook she was an associate professor at the University of Michigan's School of Information and Center for the Study of Complex Systems. 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. Her projects have included identifying expertise in online question and answer forums, studying the dynamics of viral marketing, and characterizing the structural and communication patterns in online social media. She has received an NSF CAREER award, a University of Michigan Henry Russell award, the 2012 Lagrange Prize in Complex Systems.
"How Cascades Grow"
This talk will describe several studies of information diffusion in social networks. The early spread of the cascade can be used to predict features such as size and shape, as well as whether it will recur. The information itself may change in the course of propagation, revealing the evolutionary structure of memes. Finally, the structure of the cascade can vary depending on the underlying mechanism by which the information is shared.