[Apologies if you receive multiple copies of this message] --------------------------------------------------------------------------------- Special Issue on Advances in Social Media New Review of Hypermedia and Multimedia (SCI, IF: 0.259) Taylor & Francis Press Submission Deadline: September 30, 2014 CFP: http://explore.tandfonline.com/cfp/est/special-issue-on-advances-in-social-media Submission link: http://mc.manuscriptcentral.com/tham/ ---------------------------------------------------------------------------------
Social media are fundamentally changing the manner in which we connect, communicate, interact, collaborate and socialize in our daily lives. Before social media appeared, the public could only passively access information released by traditional media. With the rise of Twitter, Facebook, Linkedin and other social networks (SNS), a huge volume of social media information is disseminated. The availability of massive and heterogeneous social media data, involving user’s profiles, geo-locations, trajectories, albums, audio, videos, and interaction records, media contents and other metadata, has created numerous new research challenges and opportunities. For example, there are various issues concerning security and privacy, and the identification and avoidance of false information in social media. With the emergence of big data as an important information technology in support of computational analytical methods for understanding relations in human society, it becomes possible to use text mining, image recognition, behavior modeling, affective computing, and public opinion analysis and monitoring with social media to provide more precise recommendations and more personalized services. This special issue aims to bring the research community together with the engineering community to provide a picture of the state-of-the-art in social media study. This special issue seeks original papers that report novel ideas, models, theories, systems and applications regarding social media. We are particularly interested in the work leveraging the key technologies of big data and mobile computing. Potential contributions include, but are not limited to, areas such as: * Indexing, ranking, and retrieval on big social media data * Machine learning and data mining for social media * Understanding social content and dynamics from social media * Affective computing by social media * User interests and behavior modeling in social media * Public opinion monitoring by social media * Security and privacy in social media * Identification and avoidance of false information in social media * Mobile and Wearable Social Networks and Systems * Efficient learning algorithms for scalable social network analysis * Cyber-physical and Smart Interactive System for Social Networks * Measuring predictability of real world phenomena based on social media * Novel social media applications *Submission Instructions* Manuscripts should be written in English and strictly follow “Instructions for authors” of the New Review on Hypermedia and Multimedia at http://www.tandfonline.com/action/authorSubmission?journalCode=tham20&page=instructions . *Editorial information* Guest Editor: Daqiang Zhang, Tongji University ([email protected]) Guest Editor: Yin Zhang, Huazhong University of Science and Technology ( [email protected]) Guest Editor: Min Chen, Huazhong University of Science and Technology ( [email protected])
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