Suggesting friends using the implicit social graph
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Extracting tip information from social media
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
Personalized recommendation based on implicit social network of researchers
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Information Sciences: an International Journal
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In recent years, social computing has become a very popular application in the Internet, and therefore large amount of social (communication) data has been collected in differentsocial computing application. This paper will introduce a methodology to collect and analyze multi-source social, and by this for extracting social networks from the data. A system architecture will also be presented in this paper to show how the data can be collected, pre-processed, analyzed. Furthermore, the system will allow the users to use the data as a resource for personal decision support.