Influence diffusion model in text-based communication

Naohiro Matsumura*, Yukio Ohsawa, Mitsuru Ishizuka

*この研究の対応する著者

研究成果: Article査読

33 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)259-267
ページ数9
ジャーナルTransactions of the Japanese Society for Artificial Intelligence
17
3
DOI
出版ステータスPublished - 2002
外部発表はい

ASJC Scopus subject areas

  • 人工知能

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