Behavior Dynamics in Media-Sharing Social Networks
Behavior Dynamics in Media-Sharing Social Networks
W. Sabrina Lin, University of Maryland, College Park
K. J. Ray Liu, University of Maryland, College Park
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.
- Unique emphasis on the signal processing perspective of behavior modeling and analysis
- Presents state-of-the-art concepts and recent results
- Uses two real-world multimedia social networks as examples to demonstrate the methodologies used to model and analyze human behavior
Reviews & endorsements
'… 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
Product details
No date availableHardback
9780521197274
350 pages
254 × 178 × 21 mm
0.84kg
110 b/w illus. 7 tables
Table of Contents
- 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.
