BSD 2015 - 2015 Workshop on Big Social Data

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).
The BSD 2015 topics include but are certainly not limited to the following areas:
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.