著者

片上 大輔 鳥海 不二夫 大澤 博隆 稲葉 通将 篠田 孝祐 松原 仁 Daisuke Katagami Fujio Toriumi Hirotaka Osawa Michimasa Inaba Kosuke Shinoda Hitoshi Matsubara 東京工芸大学工学部コンピュータ応用学科 東京大学大学院工学系研究科 筑波大学システム情報系 広島市立大学大学院情報科学研究科 電気通信大学大学院情報システム学研究科 公立はこだて未来大学システム情報科学部 Department of Applied Computer Science Faculty of Engineering Tokyo Polytechnic University Department of Applied Computer Science Faculty of Engineering The University of Tokyo Faculty of Engineering Information and Systems University of Tsukuba Graduate School of Information Sciences Hiroshima City University Graduate School of Information Systems The University of Electro-Communications Faculty of Systems Information Science Future University Hakodate

雑誌

人工知能 = journal of the Japanese Society for Artificial Intelligence (ISSN:21882266)

巻号頁・発行日

vol.30, no.1, pp.65-73, 2015-01-01

著者

岡田 佳之 榊 剛史 鳥海 不二夫 篠田 孝祐 風間 一洋 野田 五十樹 沼尾 正行 栗原 聡 Okada Yoshiyuki Takeshi Sakaki Fujio Toriumi Kosuke Shinoda Kazuhiro Kazama Itsuki Noda Masayuki Numao Satoshi Kurihara

雑誌

SIG-SAI = SIG-SAI

巻号頁・発行日

vol.16, no.1, pp.1-9, 2013-03-11

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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.

著者

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

出版者

Fuji Technology Press Ltd.

雑誌

Journal of Advanced Computational Intelligence and Intelligent Informatics (ISSN:13430130)

巻号頁・発行日

vol.18, no.4, pp.598-607, 2014-07-20 (Released:2019-07-01)

参考文献数

11

被引用文献数

11

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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.

著者

篠田 孝祐 Kosuke Shinoda 理化学研究所

雑誌

人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence (ISSN:09128085)

巻号頁・発行日

vol.26, no.6, pp.584-589, 2011-11-01

著者

篠田 孝祐 佐藤 浩 Kosuke Shinoda Hiroshi Sato 産業技術総合研究所知能システム研究部門 防衛大学校情報工学科 Intelligent Systems Reserch Institute National Institute of Advanced Industrial Science and Technology Dept. of Computer Science National Defense Academy

出版者

人工知能学会

雑誌

人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence (ISSN:09128085)

巻号頁・発行日

vol.23, no.3, pp.380-384, 2008-05-01

参考文献数

5