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  • 标题:Bayesian Network Analysis and its Sensitivity Analysis for the Questionnaire Investigation on SNS
  • 本地全文:下载
  • 作者:Tsuyoshi Aburai ; Kazuhiro Takeyasu
  • 期刊名称:Journal of Computations & Modelling
  • 印刷版ISSN:1792-7625
  • 电子版ISSN:1792-8850
  • 出版年度:2013
  • 卷号:3
  • 期号:4
  • 出版社:Scienpress Ltd
  • 摘要: Social Networking Service (SNS) is prevailing rapidly in Japan in recent years. The most popular ones are Facebook, mixi, and Twitter, which are utilized in various fields of life together with the convenient tool such as smart-phone. In this work, a questionnaire investigation is carried out in order to clarify the current usage condition, issues and desired functions. More than 1,000 samples are gathered. Bayesian network is utilized for this analysis. Sensitivity analysis is carried out by setting evidence to all items. After conducting the sensitivity analysis, useful results are obtained. Differences in usage objectives and SNS sites are made clear by the attributes and preference of SNS users. They can be utilized effectively for marketing by clarifying the target customer through the sensitivity analysis.
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