Facebook Data Science Talk by Lada Adamic: 11AM Wednesday October 22 in E2 180 (light refreshments beforehand)

[Lise Getoor]

hi all,

First talk in the data science series this fall.   Please attend, and encourage others to attend too!

Title: Studying a very large social network

Lada Adamic, Data Scientist at Facebook, hosted by Data Science at Santa Cruz (DSSC)

Simularium (E2-180) on Wednesday, Oct. 22 at 11:00 am

Light refreshments will be served

Abstract: There is a lot we can learn about the way we communicate and relate by studying the aggregate interactions of hundreds of millions of people around the globe. In this talk I will describe some of the research from Facebook’s core data science team examining phenomena ranging from migrations to tie formation to information sharing. Diving more deeply into information sharing on Facebook, I will discuss the predictability of reshare cascades, the dynamics of rumor propagation and the way the information itself can evolve as it is being transmitted.

Bio:  Lada Adamic leads the Product Science group within Facebook's Data Science Team. She is also an adjunct 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.