Influence diffusion model in text-based communication

Naohiro Matsumura, Yukio Ohsawa, Mitsuru Ishizuka

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

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
Volume17
Issue number3
DOIs
Publication statusPublished - 2002
Externally publishedYes

Keywords

  • BBS
  • Influence diffusion model
  • Text-based communication

ASJC Scopus subject areas

  • Artificial Intelligence

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