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Social graphs, representing online friendships among users, are one of the fundamental types of data for many applications, such as recommendation, virality prediction and marketing in social media. However, this data may be unavailable due to the privacy concerns of users, or kept private by social network operators, which makes such applications difficult. Inferring users' interests and discovering...
The workshop aims to bring together researchers and practitioners to review and discuss ways of providing effective access to large-scale collections of cultural heritage content. The scale, variety and availability of cultural heritage content, combined with the variety of user groups with respect to background knowledge, specialist experience and needs is challenging in the context of existing access...
Billions of user-shared images are generated by individuals in many social networks today, and this particular form of user data is widely accessible to others due to the nature of online social sharing. When user social graphs are only accessible to exclusive parties, these user-shared images are proved to be an easier and effective alternative to discover user connections. This work investigated...
The emergence of “big data” offers unprecedented opportunities for not only accelerating scientific advances, but also enabling new modes of discovery. While we understand how to automate routine aspects of data management and analytics, most elements of the scientific process currently require considerable human expertise and effort. We argue that realizing the full potential of data to accelerate...
Most discussion hitherto of big data in the humanities has assumed that it is characterized by its heterogeneous nature. This paper examines the extent to which bibliographic records generated by libraries represent a more homogenous form of humanities big data, more closely related to the observational big data generated by scientific data. It is suggested from an examination of the British Library...
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