Influence diffusion model in text-based communication

Naohiro Matsumura; Yukio Ohsawa; Mitsuru Ishizuka

doi:10.1527/tjsai.17.259

Influence diffusion model in text-based communication

Naohiro Matsumura^*, Yukio Ohsawa, Mitsuru Ishizuka

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

33 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 language	English
Pages (from-to)	259-267
Number of pages	9
Journal	Transactions of the Japanese Society for Artificial Intelligence
Volume	17
Issue number	3
DOIs	https://doi.org/10.1527/tjsai.17.259
Publication status	Published - 2002
Externally published	Yes

Keywords

BBS
Influence diffusion model
Text-based communication

ASJC Scopus subject areas

Artificial Intelligence

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10.1527/tjsai.17.259

Cite this

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Influence diffusion model in text-based communication

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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