MANAGING INFORMATION DIFFUSION IN ONLINE SOCIAL NETWORKS VIA STRUCTURAL ANALYSIS

Abstract

With the advent of Web 2.0, social networks like Facebook and Twitter offer a platform for millions of users to share information, accelerating the diffusion of information among web users. Many studies have been conducted to understand as well as control the information diffusion process. This thesis seeks to address the challenge of developing methods for expanding as well as preventing information diffusion in highly dynamic and time-sensitive online social networks.