H. Vicky Zhao

Behavior Dynamics in Media-Sharing Social Networks (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 14. April 2011
• Englisch
• ISBN-13: 9781139065290
• Artikelnr.: 38276964

Autorenporträt

H. Vicky Zhao is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Alberta. The recipient of the IEEE Signal Processing Society Young Author Best Paper Award 2008, she is an Associate Editor for the IEEE Signal Processing Letters and the Journal of Visual Communication and Image Representation.

Inhaltsangabe

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.