Presentation | 2021-03-04 Twitter analysis in the 2019 House of Councilors election Kosuke Ariya, Eiichi Umehara, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(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) |
Keyword(in English) | Twitter / House of Councilors Election / Topic Analysis / Time Series Analysis / Social Network Analysis |
Paper # | LOIS2020-47 |
Date of Issue | 2021-02-25 (LOIS) |
Conference Information | |
Committee | LOIS |
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Conference Date | 2021/3/4(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Toru Kobayashi(Nagasaki Univ.) |
Vice Chair | Hiroyuki Toda(NTT) |
Secretary | Hiroyuki Toda(NTT) |
Assistant | Shigeru Fujimura(NTT) |
Paper Information | |
Registration To | Technical Committee on Life Intelligence and Office Information Systems |
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Language | JPN |
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 |
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.) |
Date | 2021-03-04 |
Paper # | LOIS2020-47 |
Volume (vol) | vol.120 |
Number (no) | LOIS-417 |
Page | pp.pp.1-5(LOIS), |
#Pages | 5 |
Date of Issue | 2021-02-25 (LOIS) |