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.
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Leiden :
Cambridge University Press,
2011.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Half-title; Title; Copyright; Dedication; 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 modeling of colluder social networks.
- 9 Cooperation stimulation in peer-to-peer video streaming10 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; Part V: Media-sharing social network structures; 13 Misbehavior detection in colluder social networks with different structures; 14 Structuring cooperation for hybrid peer-to-peer streaming; References; Index.