The 1st International Workshop on Big Social Data (BSD 2015)

17 September, 2015 - Guangzhou - China

In conjunction with the 17th Asia-Pacific Web Conference

Honorary Chair
Cyrus Shahabi
University of Southern California
shahabi@usc.edu
Program Co-chair
Liang Hong
Wuhan University, China
hong@whu.edu.cn

Lei Zou
Peking University, China
zoulei@pku.edu.cn
Aim of the Workshop
Big Social Data refers to the data collected from of human interactions through the Web and mobile devices. This dataset is a rich source of information; enabling new scientific, economic, and social studies.

The BSD workshop targets researches that focus on all aspects of the greatest challenges and opportunities arise from social big data. The workshop invites original research contributions as well as reports on prototype systems from research communities dealing with different theoretical and applied aspects of big social data. Submitted papers will be evaluated on the basis of significance, originality, technical quality, and exposition. Papers should clearly establish the research contribution, and relation to previous research.

The overall goal of the workshop is to bring people from different fields together, exchange research ideas and results, and encourage discussion about how to manage, analyze and visualize social big data in different application domains and to understand the research challenges of such area. We believe that social big data is a quite emerging research topic that has not been served by a dedicated workshop in any of the main database conferences. It has many practical applications which still need further investigations and much research efforts from the database community. We believe that the BSD workshop will become a traditional annual meeting for the community of researchers in different topics of the social big data field. Having the workshop collocated with APWeb as a leading database conference will definitely help to achieve the main goals of the workshop.


Best papers of the workshop will be recommended to IEEE Multimedia Magazine for fast-track publication on special issue on Multimedia Quality Modeling (SCI Indexed).

Topics of interest
Topics of interest include, but are not limited to:
- Management of big social data.
- Location-based social network.
- Systems and algorithms for social search.
- Methods/Techniques for social recommendation.
- Modeling social networks and behavior.
- Trust and reputations in social systems.
- Privacy and security in social systems.
- Community discovery and analysis in large scale online/offline social networks.
- Data mining and machine learning in social systems.
- Visualization of big social data.
- New models of advertising and monetization in social networks
- Social network analysis.
- Novel social applications and systems.
- Big Social data and online education.
- Benchmarking and testing of social systems.

Important Dates
Deadline for Paper Submission : June 13, 2015
Authors Notification : July 15, 2015
Final Paper Submission and Registration : July 30, 2015
Workshop Dates : September 17, 2015
Expected number of participants
The workshop is expected to attract between 20-40 participants.
Proposed duration of the workshop: 1 day
Submission Site: https://cmt.research.microsoft.com/BSD2015/

Potential Program Committee Members
- Kristina Lerman, University of Southern California, USA (tentative)
- Luming Zhang, National University of Singapore, Singapore
- Hongzhi Yin, The University of Queensland, Australia
- Spiros Papadimitriou, Rutgers University, USA (tentative)
- Khuzaima Daudjee, University of Waterloo, Canada
- Gerard de Melo, Tsinghua University, China
- Xiang Lian, University of Texas-Pan American, USA
- Yu Zheng, Microsoft Research Asia (tentative)
- Rui Zhang, University of Melbourne, Australia (tentative)
- Xueming Lin, The University of New South Wales, Australia (tentative)
- Dimitris Sacharidis, Vienna University of Technology, Austria
- Zhenhui Li, Pennsylvania State University, USA (tentative)
-Yi-Shin Chen, National Tsinghua University, Taiwan
- Wei Gao, Qatar Computing Research Institute, Qatar