[Om-announce] [CFP] SI on Advance in Social Media on New Review on Hypermedia and Multim

[Daqiang Zhang]

[Apologies if you receive multiple copies of this message]

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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/
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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 (dqzhang at ieee.org)
Guest Editor: Yin Zhang, Huazhong University of Science and Technology (
yin.zhang.cn at ieee.org)
Guest Editor: Min Chen, Huazhong University of Science and Technology (
minchen at ieee.org)
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