Behavior dynamics in media-sharing social networks

"In large-scale media-sharing social networks, where millions of users create, share, link and reuse media content, there are clear challenges in protecting content security and intellectual property, and in designing scalable and reliable networks capable of handling high levels of traffic. This comprehensive resource demonstrates how game theory can be used to model user dynamics and optimize design of media-sharing networks. It reviews the fundamental methodologies used to model and analyze human behavior, using examples from real-world multimedia social networks. With a thorough investigation of the impact of human factors on multimedia system design, this accessible book shows how an understanding of human behavior can be used to improve system performance. Bringing together mathematical tools and engineering concepts with ideas from sociology and human behavior analysis, this one-stop guide will enable researchers to explore this emerging field further and ultimately design media-sharing systems with more efficient, secure and personalized services"--

Pt. I. Introduction -- 1. Introduction to media-sharing social networks -- 1.1. Quantitative analysis of social networks -- 1.2. Understanding media semantics in media-sharing networks -- -- 2. Overview of multimedia fingerprinting -- 2.1. Traitor-tracing multimedia fingerprinting -- 2.2. Scalable video coding system -- 2.3. Scalable video fingerprinting -- -- 3.Overview of mesh-pull peer-to-peer video streaming -- 3.1. Mesh-pull structure for P2P video streaming -- 3.2. User dynamics in peer-to-peer video streaming -- -- 4. Game theory for social networks -- 4.1. Noncooperative and cooperative games -- 4.2. Noncooperative games -- 4.3. Bargaining games -- -- Pt. II. Behavior Forensics in Media-sharing Social Networks -- 5. Equal-risk fairness in colluder social networks -- 5.1. Equal-risk collusion -- 5.2. Influence on the detector's side : collusion resistance -- 5.3. Traitor-tracing capability of scalable fingerprints -- 5.4. Chapter summary and bibliographical notes -- -- 6. Leveraging side information in colluder social networks -- 6.1. Probing and using side information -- 6.2. Game-theoretic analysis of colluder detector dynamics -- 6.3. Equilibrium analysis -- 6.4. Simulat…