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Paper Abstract and Keywords
Presentation 2012-06-21 15:15
[Invited Talk] Analysis of Retweet on Twitter under the Disaster Situation
Fujio Toriumi (The University of Tokyo), Kousuke Shinoda (RIKEN), Satoshi Kurihara (Osaka Univ), Takeshi Sakaki (The University of Tokyo), Kazuhiro Kazama (NTT), Itsuki Noda (AIST) AI2012-4
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we analyzed the 400 millions of Tweet data which posted around the Great East Japan Earthquake to find
how the twitter used and how the Twitter was influenced by the disaster.
We modeled the time series data of Retweet by Gaussian Mixture Model.
By analyzing the model, we found that the peak times of the retweets are become shorter,
and there are few long range retweets after the disaster.
As a result, we can say that the role of the Twitter was changed from communication tools to information sharing tools
since the Great East Japan Earthquake were occurred.
Keyword (in Japanese) (See Japanese page) 
(in English) Social Media / twitter / the Great East Japan Earthquake / Network Analysis / Time Series Analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 94, AI2012-4, pp. 19-24, June 2012.
Paper # AI2012-4 
Date of Issue 2012-06-14 (AI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee AI  
Conference Date 2012-06-21 - 2012-06-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Web Intelligence 
Paper Information
Registration To AI 
Conference Code 2012-06-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Retweet on Twitter under the Disaster Situation 
Sub Title (in English)  
Keyword(1) Social Media  
Keyword(2) twitter  
Keyword(3) the Great East Japan Earthquake  
Keyword(4) Network Analysis  
Keyword(5) Time Series Analysis  
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Keyword(7)  
Keyword(8)  
1st Author's Name Fujio Toriumi  
1st Author's Affiliation The University of Tokyo (The University of Tokyo)
2nd Author's Name Kousuke Shinoda  
2nd Author's Affiliation RIKEN (RIKEN)
3rd Author's Name Satoshi Kurihara  
3rd Author's Affiliation Osaka University (Osaka Univ)
4th Author's Name Takeshi Sakaki  
4th Author's Affiliation The University of Tokyo (The University of Tokyo)
5th Author's Name Kazuhiro Kazama  
5th Author's Affiliation NTT Network Innovation Laboratories (NTT)
6th Author's Name Itsuki Noda  
6th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
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Speaker Author-1 
Date Time 2012-06-21 15:15:00 
Presentation Time 60 minutes 
Registration for AI 
Paper # AI2012-4 
Volume (vol) vol.112 
Number (no) no.94 
Page pp.19-24 
#Pages
Date of Issue 2012-06-14 (AI) 


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