Yung-Ming Li
ABSTRACT
With the advance of Internet, online social networks could be seen as a large expert group exclusively belongs to online users. The social appraisal support involves the feedback about friends' opinions which represent the opportunities for sales. In this paper, a mechanism composed with social network analysis (SNA), intuitionistic fuzzy sets (IFSs), and technique for order preference by similarity to ideal solution (TOPSIS) is proposed to achieve social appraisal support for online users within micro-blogosphere. The proposed mechanism can successfully summarize the collective opinions from online social network and further speed up the decision process in support users' purchasing behaviors.
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Index Terms
- Social support mechanism in micro-blogosphere
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