tailieunhanh - MULTIMEDIA SOCIAL NETWORKS: GAME THEORETIC MODELING AND EQUILIBRIUM ANALYSIS

Some sites are presented as virtual cities where digital individuals live their lives parallel to the ‘real ones’, some promote the images of real cities being an increasingly important place marketing tool. Especially the most iconic global tourist cities provide images that aim to give to these material places new meaning in the virtual space. Apart from being part of the virtual realm, webcams can, indeed, create ‘real interest on a real place’ adding to them “a whole new stratum of cultural space” (Campanella, 2004: 59). Privately run ‘home webcams’ present daily lives of individuals. While all surveillance tends. | ABSTRACT Title of dissertation MULTIMEDIA SOCIAL NETWORKS GAME THEORETIC MODELING AND EQUILIBRIUM ANALYSIS Yan Chen Doctor of Philosophy 2011 Dissertation directed by Professor K. J. Ray Liu Department of Electrical and Computer Engineering Multimedia content sharing and distribution over multimedia social networks is more popular now than ever before we download music from Napster share our images on Flickr view user-created video on YouTube and watch peer-to-peer television using Coolstreaming PPLive and PPStream. Within these multimedia social networks users share exchange and compete for scarce resources such as multimedia data and bandwidth and thus in uence each other s decision and performance. Therefore to provide fundamental guidelines for the better system design it is important to analyze the users behaviors and interactions in a multimedia social network . how users interact with and respond to each other. Game theory is a mathematical tool that analyzes the strategic interactions among multiple decision makers. It is ideal and essential for studying analyzing and modeling the users behaviors and interactions in social networking. In this thesis game theory will be used to model users behaviors in social networks and analyze the corresponding equilibria. Specifically in this thesis we first illustrate how to use game theory to analyze and model users behaviors in multimedia social networks by discussing the following three different scenarios. In the first scenario we consider a non-cooperative multimedia social network where users in the social network compete for the same resource. We use multiuser rate allocation social network as an example for this scenario. In the second scenario we consider a cooperative multimedia social network where users in the social network cooperate with each other to obtain the content. We use cooperative peer-to-peer streaming social network as an example for this scenario. In the third scenario we consider how to use

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