ECE Seminar: Mining and Predicting a Complex Networked World: Theory, Models and Applications
Tuesday, February 10, 2015 - 12:00pm to 1:00pm
Dr. Bruno Ribeiro, Carnegie Mellon University, School of Computer Science
Recent rapid advances in computational data-driven information and knowledge discovery have helped solve important technological problems and answer big scientific questions, with tremendous economic and societal impacts. Networks are at the heart of this revolution¿from biological, ecological, and transportation networks, to online social networks, media streaming and online retail services that reach over three billion users and are valued at well over one trillion dollars. How can we use this vast amount of data to answer fundamental questions, such as how does one forecast the growth or demise of online social network companies? And, more specifically, why did four large online social networks¿namely MySpace, Hi5, Friendster and Multiply¿synchronously go from growth and stability to their sudden downfall in the summer of 2008? MySpace was valued at $2 billion at its peak in 2008, and yet sold for a tiny fraction of that three years later. MySpace¿s seemingly inexplicable sudden death still negatively impacts valuations of Internet companies today.