SIR-extended information diffusion model of false rumor and its prevention strategy for twitter

Yoshiyuki Okada, Keisuke Ikeda, Kosuke Shinoda, Fujio Toriumi, Takeshi Sakaki, Kazuhiro Kazama, Masayuki Numao, Itsuki Noda, Satoshi Kurihara

研究成果: Article査読

8 被引用数 (Scopus)

抄録

Nowadays, users of Twitter, one of famous social networking service, have rapidly increased in number, and many people have been exchanging information by Twitter. When the Great East Japan Earthquake struck in 2011, people were able to obtain information from social networking services. Though Twitter played an important role, one problem was especially pointed out: false rumor diffusion. In this study, we propose an information diffusion model based on the SIR model and discuss how to prevent false rumor diffusion.

本文言語English
ページ(範囲)598-607
ページ数10
ジャーナルJournal of Advanced Computational Intelligence and Intelligent Informatics
18
4
DOI
出版ステータスPublished - 2014 7
外部発表はい

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • 人工知能

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