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| Presentation | 2021-03-04 13:00 Twitter analysis in the 2019 House of Councilors election Kosuke Ariya, Eiichi Umehara (Tokyo City Univ.)  LOIS2020-47 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We analyzed Twitter of the House of Councilors Election in 2019. We investigated opinions on Twitter, retweet network and the number of messages. As a result, first, we found in the network diagram that there might be opinion leaders on twitter and almost users were connected only with users with having the same opinion. Therefore, users might have been in contact with each other selectively on Twitter. Second, after opinion polls of each newspaper reported that the LDP was dominant, the number of LDP-supported accounts increased. Therefore, as an announcement effect, a bandwagon effect might be established. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Twitter / House of Councilors Election / Topic Analysis / Time Series Analysis / Social Network Analysis / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 417, LOIS2020-47, pp. 1-5, March 2021. | |
| Paper # | LOIS2020-47 | |
| Date of Issue | 2021-02-25 (LOIS) | |
| 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 | LOIS2020-47 |
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| Conference Information | |
| Committee | LOIS |
| Conference Date | 2021-03-04 - 2021-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | LOIS |
| Conference Code | 2021-03-LOIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Twitter analysis in the 2019 House of Councilors election |
| Sub Title (in English) | |
| Keyword(1) | |
| Keyword(2) | House of Councilors Election |
| Keyword(3) | Topic Analysis |
| Keyword(4) | Time Series Analysis |
| Keyword(5) | Social Network Analysis |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kosuke Ariya |
| 1st Author's Affiliation | Tokyo City University (Tokyo City Univ.) |
| 2nd Author's Name | Eiichi Umehara |
| 2nd Author's Affiliation | Tokyo City University (Tokyo City Univ.) |
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| Speaker | 1 |
| Date Time | 2021-03-04 13:00:00 |
| Presentation Time | 25 |
| Registration for | LOIS |
| Paper # | IEICE-LOIS2020-47 |
| Volume (vol) | IEICE-120 |
| Number (no) | no.417 |
| Page | pp.1-5 |
| #Pages | IEICE-5 |
| Date of Issue | IEICE-LOIS-2021-02-25 |
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