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  • 标题:Influence Diffusion Model in Text-Based Communication
  • 本地全文:下载
  • 作者:Naohiro Matsumura ; Yukio Ohsawa ; Mitsuru Ishizuka
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2002
  • 卷号:17
  • 期号:3
  • 页码:259-267
  • DOI:10.1527/tjsai.17.259
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:Business people, especially marketing researchers, are keen to understand peoples' potential sense of value to create fascinating topics stimulating peoples' interest. In this paper, we aim at finding influential people, comments, and terms contributing the discovery of such topics. For this purpose, we propose an Influence Diffusion Model in text-based communication, where the influence of people, comments, and terms are defined as the degree of text-based relevance of messages. We apply this model to Bulletin Board Service(BBS) on the Internet, and present our discoveries on experimental evaluations.
  • 关键词:influence diffusion model ; text-based communication ; BBS
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