SIR-Extended Information Diffusion Model of False Rumor and its Prevention Strategy for Twitter
Yoshiyuki Okada*1, Keisuke Ikeda*2, Kosuke Shinoda*2,
Fujio Toriumi*3, Takeshi Sakaki*3,Kazuhiro Kazama*4,
Masayuki Numao*1, Itsuki Noda*5, and Satoshi Kurihara*2
*1The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan
*2Graduate School of Information Systems, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan
*3The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
*4Department of Computer and Communication Sciences, Faculty of Systems Engineering, Wakayama University, 930 Sakaedani Wakayama-shi, Wakayama 640-8510, Japan
*5National Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan
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.
Fujio Toriumi, Takeshi Sakaki, Kazuhiro Kazama,
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