110 0 0 0 OA 「人工知能」の表紙に関するTweetの分析(<小特集>「人工知能」表紙問題における議論と論点の整理)
- 著者
- 鳥海 不二夫 榊 剛史 岡崎 直観 Fujio Toriumi Takeshi Sakaki Naoki Okazaki
- 雑誌
- 人工知能 = journal of the Japanese Society for Artificial Intelligence (ISSN:21882266)
- 巻号頁・発行日
- vol.29, no.2, pp.172-181, 2014-03-01
- 著者
- 榊 剛史 松尾 豊 Takeshi Sakaki Yutaka Matsuo
- 出版者
- 一般社団法人 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.27, no.1, pp.67-74, 2012-01-01
- 参考文献数
- 41
3 0 0 0 OA AI的AKB48論(<特集>エンターテイメントにおけるAI)
- 著者
- 松尾 豊 吉田 宏司 榊 剛史 Yutaka Matsuo Koji Yoshida Takeshi Sakaki
- 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.89-96, 2015-01-01
2 0 0 0 OA マイクロブログにおけるデマの拡散過程の分類と拡張SIRモデルに基づく解析
- 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
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
- 榊 剛史 松尾 豊 Takeshi Sakaki Yutaka Matsuo
- 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.27, no.1, pp.67-74, 2012-01-01
1 0 0 0 SIR-Extended Information Diffusion Model of False Rumor and its Prevention Strategy for Twitter
- 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
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.