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As we are living in a "smart world" (which comprises cyber, physical and social worlds), big data are everywhere. High volumes of high-veracious, high-valuable data can be easily generated and collected at a high velocity from a high variety of data sources in various real-life applications in the fields of sciences and engineering, finance, social media, as well as online information resources...
Advances in social computing and networking software and technologies enable users to intersect social behaviour with computing systems for creating social conventions and contexts. In recent years, social networking sites have become popular to facilitate collaboration and knowledge sharing between users. A rich set of information is embedded in these social media data. In this paper, we propose...
Social networking websites such as Facebook, LinkedIn, Twitter, and Weibo have been used for collaboration and knowledge sharing between users. The mining of social network data has become an important topic in data mining and computational aspects of social networks. Nowadays, it is not uncommon for most users in a social network to have many friends and in multiple social domains. Among these friends,...
The emergence of social computing enables users to intersect social behaviour with computing systems and to create social conventions as well as social contexts through the use of software and technology. Social networking sites have become popular to facilitate collaboration and knowledge sharing between users. A rich set of information is embedded in these social media data. In this paper, we propose...
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