Information Spread in Online Social Media
Abstract
The goal of this project is to study viral information spread occurring in social media sites. This phenomenon is referred to as information cascades. The proposed study will investigate properties of massive real world information cascades, collected from social media site VK.com. Specifically, a set of metrics for quantitative description of cascades (such as size, speed, and depth) is going to be introduced; then effect of individual nodes and cohesive groups on these metrics is going to be analyzed. Part of the aim of this research is to formulate critical nodes detection problem with regard to minimization of various metrics of information cascades, and develop the method for its efficient computation. In summary, this research will combine methodologies used in operations research with computer science methods, and validate the results using large sets of real world social media data.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 02, 2017
- Source ID
- FA95501710030
Entities
People
- Alexander Semenov
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Jyväskylä