Social support mechanism in micro-blogosphere

Yung-Ming Li*, Cheng Yang Lai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Electronic Commerce, ICEC'11
DOIs
StatePublished - 1 Dec 2011
Event13th International Conference on Electronic Commerce, ICEC'11 - Liverpool, United Kingdom
Duration: 3 Aug 20115 Aug 2011

Publication series

NameACM International Conference Proceeding Series

Conference

Conference13th International Conference on Electronic Commerce, ICEC'11
Country/TerritoryUnited Kingdom
CityLiverpool
Period3/08/115/08/11

Keywords

  • Intuitionistic fuzzy set
  • Social network
  • Social support
  • Topsis

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