Research Area 5.3.3: Sybil-Resilient Influence Measurement in Microblogging Systems
Abstract
The goal of the proposed research is to expand the fundamental understanding of the security and trust issues in social media that can foster the creation of effective information dissemination system. The proposed research will be conducted in four research thrusts: 1) Interaction Analysis (Thrust 1): PIs will explore creating a directed weighted interaction graph and iteratively update the interaction graph based on user credit distribution to ultimately separate users into trusted groups and Sybil suspects. 2) Content Analysis (Thrust 2): PI will use novel machine learning techniques to analyze microblogging messages to provide an accurate estimation of the probability that a given user is a Sybil suspect. 3) Integration of Interaction and Content Analysis (Thrust 3): PI will investigate the tight interplay between interaction and content analysis instead of running them independently, using Laplacian regularization techniques. 4) Prototyping and Evaluation (Thrust 4): PI will prototype and thoroughly evaluate the effectiveness of the proposed system.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1510328
Entities
People
- Yanchao Zhang
Organizations
- Arizona State University
- Army Contracting Command
- United States Army