Skip to Main Content
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 different social 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.