Stanford computer scientist to discuss how online networks can be used to study social interactions

WHO: Jure Leskovec, assistant professor of computer science at Stanford University. His research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them.

WHAT: Social interactions of hundreds of millions of people on the Web leave massive digital traces, which can naturally be represented, studied and analyzed as networks of interactions. Computationally analyzing such massive networks offers enormous potential to address long-standing scientific questions as well as a new perspective on fundamental questions in the social sciences. Leskovec will discuss how analysis of massive networks can be applied to study online interactions and the dynamics of information flows through such networks.

WHEN: Monday, Feb. 17, 9:45 to 11:15 a.m. CST.

WHERE: American Association for the Advancement of Science (AAAS) Annual Meeting, Hyatt Regency, Grand Ballroom A, 151 E. Wacker Dr., Chicago.

Leskovec will discuss "Studying Social Phenomena by Mining Massive Online Networks" as part of the "Learning about People and Society via Analysis of Large-Scale Data on Human Activities" symposium.

Leskovec will also take part in a related news briefing on Feb. 17 at 8:00 a.m. CST at the AAAS Newsroom Headquarters in the Swissôtel, 323 East Upper Wacker Dr. The briefing will be streamed live on EurekAlert.org.

Provided by Stanford University