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| 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 |
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| 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. |
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| 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 and 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) | |
| Download PDF | AI2012-4 |
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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) | |
| Keyword(3) | the Great East Japan Earthquake |
| Keyword(4) | Network Analysis |
| Keyword(5) | Time Series Analysis |
| Keyword(6) | |
| 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 | 6 |
| Date of Issue | 2012-06-14 (AI) |
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