著者
白井 嵩士 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 Shirai Takashi Sakaki Takeshi Toriumi Fujio Shinoda Kosuke Kazama Kazuhiro Noda Itsuki Numao Masayuki Kurihara Satoshi
雑誌
SIG-DOCMAS = SIG-DOCMAS
巻号頁・発行日
no.B102, 2012-03-11

Twitter is a famous social networking service and has received attention recently.Twitter user have increased rapidly, and many users exchange information. When 2011 Tohokuearthquake and tsunami happened, people were able to obtain information from social networkingservice. Though Twitter played the important role, one of the problem of Twitter, a false rumordiffusion, was pointed out. In this research, we focus on a false rumor diffusion. We propose ainformation diffusion model based on SIR model, and discuss how to prevent a false rumor diffusion.

言及状況

Twitter (8 users, 8 posts, 7 favorites)

@EARL_Med_Tw @generection1 これですかね? Authorの所属機関が豪華すぎ。 「Twitterネットワークにおける デマ拡散とデマ拡散防止モデルの推定」 https://t.co/vXi7bZBa57
これか?うーむ。。。 https://t.co/Im4jqcQmmQ
https://t.co/fOA7s66gfB これ見てそう
難しすぎてさっぱりわからん。 https://t.co/lnE4Lu7kuq
後で読む。'Twitter ネットワークにおけるデマ拡散とデマ拡散防止モデルの推定' (社)人工知能学会 https://t.co/PjNabOVS

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