SIR-Extended Information Diffusion Model of False Rumor and its Prevention Strategy for Twitter | Zendy

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

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SIR-Extended Information Diffusion Model of False Rumor and its Prevention Strategy for Twitter

Author(s) -

Yoshiyuki Okada,

Keisuke Ikeda,

Kosuke Shinoda,

Fujio Toriumi,

Takeshi Sakaki,

Kazuhiro Kazama,

Masayuki Numao,

Itsuki Noda,

Satoshi Kurihara

Publication year - 2014

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2014.p0598

Subject(s) - rumor , computer science , diffusion , social media , social network service , service (business) , microblogging , internet privacy , computer security , data science , world wide web , business , public relations , political science , physics , thermodynamics , marketing

Twitter is a famous social networking service and has received attention recently. Twitter user have increased rapidly, and many users exchange information. When 2011 Tohoku earthquake and tsunami happened, people were able to obtain information from social networking service. Though Twitter played the important role, one of the problem of Twitter, a false rumor diffusion, was pointed out. In this research, we focus on a false rumor diffusion. We propose a information diffusion model based on SIR model, classify the way of diffusion in four categories, and reapper the real diffussion by using this new model.

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