Influence diffusion model in text-based communication

Naohiro Matsumura*, Yukio Ohsawa, Mitsuru Ishizuka

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)259-267
Number of pages9
JournalTransactions of the Japanese Society for Artificial Intelligence
Issue number3
Publication statusPublished - 2002
Externally publishedYes


  • BBS
  • Influence diffusion model
  • Text-based communication

ASJC Scopus subject areas

  • Artificial Intelligence


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