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Behavior Dynamics in Media-Sharing Social Networks

$140.00 (C)

  • Date Published: May 2011
  • availability: In stock
  • format: Hardback
  • isbn: 9780521197274

$ 140.00 (C)

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About the Authors
  • 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
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    Reviews & endorsements

    "In “Behavior Dynamics…”, the authors provide mathematical means for analysis of socially-enabled media sharing networks and their may find a good inspiration in the book." - IEEE Communications Magazine, June 2012

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    Product details

    • Date Published: May 2011
    • format: Hardback
    • isbn: 9780521197274
    • length: 350 pages
    • dimensions: 254 x 178 x 21 mm
    • weight: 0.84kg
    • contains: 110 b/w illus. 7 tables
    • availability: In stock
  • Table of Contents

    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

  • Authors

    H. Vicky Zhao, University of Alberta
    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.

    W. Sabrina Lin, University of Maryland, College Park
    W. Sabrina Lin is a Research Associate in the Department of Electrical and Computer Engineering at the University of Maryland. She received the University of Maryland Future Faculty Fellowship in 2007.

    K. J. Ray Liu, University of Maryland, College Park
    K. J. Ray Liu is a Distinguished Scholar-Teacher of the University of Maryland. He received the IEEE Signal Processing Society Technical Achievement Award in 2009, and was Editor-in-Chief of the IEEE Signal Processing Magazine and the founding Editor-in-Chief of the EURASIP Journal on Advances in Signal Processing.

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