Presentation 2018-03-01
Twitter Analysis the Tokyo gubernatorial election in 2016
Fumiya Yamagata, Eiichi Umehara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We analyzed Twitter of the Tokyo Gubernatorial Election in 2016. We investigated opinions on Twitter, retweet network and the number of messages. As a result, first, a voting behavior might be was an image election based on candidate evaluations such as the Michigan model. Second, 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. Finally, as an announcement effect, an underdog effect and a detachment effect might be established.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Twitter / the Tokyo Gubernatorial Election / Announcement effect / Limited effect model / Voting behavior
Paper # LOIS2017-81
Date of Issue 2018-02-22 (LOIS)

Conference Information
Committee LOIS
Conference Date 2018/3/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Naha-City IT Souzoukan(Okinawa)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hiroyuki Nishi(Sojo Univ.)
Vice Chair Tomohiro Yamada(NTT)
Secretary Tomohiro Yamada(Nagasaki Univ.)
Assistant Motoi Okamoto(Research Organization of Information and Systems)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Twitter Analysis the Tokyo gubernatorial election in 2016
Sub Title (in English)
Keyword(1) Twitter
Keyword(2) the Tokyo Gubernatorial Election
Keyword(3) Announcement effect
Keyword(4) Limited effect model
Keyword(5) Voting behavior
1st Author's Name Fumiya Yamagata
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 2018-03-01
Paper # LOIS2017-81
Volume (vol) vol.117
Number (no) LOIS-464
Page pp.pp.61-66(LOIS),
#Pages 6
Date of Issue 2018-02-22 (LOIS)