Behavior Dynamics in Media-Sharing Social Networks.

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

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Zhao, H. Vicky
Other Authors: Lin, W. Sabrina, Liu, K. J. Ray
Format: Electronic eBook
Language:Inglés
Published: Leiden : Cambridge University Press, 2011.
Subjects:
Social networks.
Consumer behavior.
Human behavior.
Game theory.
Réseaux sociaux.
Consommateurs > Comportement.
Comportement humain.
Théorie des jeux.
human behavior.
Consumer behavior
Game theory
Human behavior
Social networks
Online Access:Texto completo
Table of Contents:
  • 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.

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