Behavior Dynamics in Media-Sharing Social Networks

Demonstrates how signal processing techniques can be used to model user dynamics and optimize design of media-sharing network systems.

H. Vicky Zhao (Author), W. Sabrina Lin (Author), K. J. Ray Liu (Author)

9780521197274, Cambridge University Press

Hardback, published 14 April 2011

350 pages, 110 b/w illus. 7 tables
25.4 x 17.8 x 2.1 cm, 0.84 kg

'… the authors provide mathematical means for analysis of socially-enabled media sharing networks and their performance … one may find … inspiration in the book.' IEEE Communications Magazine

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.

Preface
Part I. Introduction: 1. Introduction to media-sharing social networks
2. Overview of multimedia fingerprinting
3. Overview of mesh-pull peer-to-peer video streaming
4. Game theory for social networks
Part II. Behavior Forensics in Media-Sharing Social Networks: 5. Equal-risk fairness in colluder social networks
6. Leveraging side information in colluder social networks
7. Risk-distortion analysis of multiuser collusion
Part III. Fairness and Cooperation Stimulation: 8. Game-theoretic modelling of colluder social networks
9. Cooperation stimulation in peer-to-peer video streaming
10. Optimal pricing for mobile video streaming
Part IV. Misbehaving User Identification: 11. Cheating behavior in colluder social networks
12. Attack resistance in peer-to-peer video streaming
13. Misbehavior detection in colluder social networks with different structures
14. Structuring cooperation for hybrid peer-to-peer streaming
References
Index.

Subject Areas: Signal processing [UYS], Computer networking & communications [UT]