LEADER 04289nam 22007332 450 001 9910806245503321 005 20151005020622.0 010 $a1-107-21486-6 010 $a1-283-11248-5 010 $a9786613112484 010 $a1-139-07563-2 010 $a1-139-08018-0 010 $a1-139-07789-9 010 $a1-139-06987-X 010 $a0-511-97336-5 010 $a1-139-08246-9 035 $a(CKB)2670000000088893 035 $a(EBL)691901 035 $a(OCoLC)726734782 035 $a(SSID)ssj0000521101 035 $a(PQKBManifestationID)11325835 035 $a(PQKBTitleCode)TC0000521101 035 $a(PQKBWorkID)10514682 035 $a(PQKB)10472590 035 $a(UkCbUP)CR9780511973369 035 $a(Au-PeEL)EBL691901 035 $a(CaPaEBR)ebr10470690 035 $a(CaONFJC)MIL311248 035 $a(MiAaPQ)EBC691901 035 $a(PPN)261364375 035 $a(EXLCZ)992670000000088893 100 $a20101011d2011|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBehavior dynamics in media-sharing social networks /$fH. Vicky Zhao, W. Sabrina Lin, K. J. Ray Liu$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2011. 215 $a1 online resource (xii, 337 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-139-06529-7 311 $a0-521-19727-9 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: 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. 330 $aIn 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. 606 $aSocial networks 606 $aConsumer behavior 606 $aHuman behavior 606 $aGame theory 615 0$aSocial networks. 615 0$aConsumer behavior. 615 0$aHuman behavior. 615 0$aGame theory. 676 $a302.30285/675 700 $aZhao$b H. Vicky$f1976-$01708798 702 $aLin$b W. Sabrina$f1981- 702 $aLiu$b K. J. Ray$f1961- 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910806245503321 996 $aBehavior dynamics in media-sharing social networks$94098047 997 $aUNINA