Rough Set and Trust Assessment-based Potential Paths Analysis and Mining for Multimedia Social Networks

Abstract

The emerging multimedia social network is a convenient platform on which multimedia content, such as e-books, digital images, audios and videos can be distributed and shared. In the open network scenario, users can randomly share or spread digital contents protected by copyright; thus, Digital Rights Management (DRM) has become a growing problem. This paper’s objective is an exploration of potential contents propagations path between users. A novel qualitative and quantitative approach to analysis and mining potential paths is proposed for multimedia social networks. The qualitative analysis and formal description were primarily based on the theory of rough set. And also, the quantitative computing of trust measurement was performed in order to determine a trusted potential path, which is within the range of user-defined trust threshold values. The proposed method would effectively and accurately find the potential paths of the digital contents distributing and sharing as to further resolve the burning DRM.

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Cite this paper

@inproceedings{Yang2012RoughSA, title={Rough Set and Trust Assessment-based Potential Paths Analysis and Mining for Multimedia Social Networks}, author={Lijun Yang and Zhiyong Zhang and Jiexin Pu}, year={2012} }