Presentation 2018-12-06
Characteristic analysis of users with strong influences on Twitter in content request prediction
Noriko Kojima, Shun-ichi Kurino, Toshio Takahashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In order to establish the method for making the request prediction of popular contents in future, we investigated the relationships among some people who have used popular contents. The study data were drived from Twitter, and these data included Tweet Information showing both URL for the YouTube videos and the video distribution date. The results show that many users who have influenced the popular contents have the verified accounts.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Contents request prediction / Twitter / Verified account
Paper # SITE2018-65
Date of Issue 2018-11-29 (SITE)

Conference Information
Committee SITE
Conference Date 2018/12/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tetsuya Morizumi(Kanagawa Univ.)
Vice Chair Masaru Ogawa(Kobe Gakuin Univ.) / Takushi Otani(Kibi International Univ.)
Secretary Masaru Ogawa(Tokyo Health Care Univ.) / Takushi Otani(Toyo Eiwa Univ.)
Assistant Hisanori Kato(KDDI Research) / Nobuyuki Yoshinaga(Yamaguchi Pref Univ.) / Daisuke Suzuki(Hokuriku Univ.)

Paper Information
Registration To Technical Committee on Social Implications of Technology and Information Ethics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Characteristic analysis of users with strong influences on Twitter in content request prediction
Sub Title (in English)
Keyword(1) Contents request prediction
Keyword(2) Twitter
Keyword(3) Verified account
1st Author's Name Noriko Kojima
1st Author's Affiliation Nihon University(Nihon Univ.)
2nd Author's Name Shun-ichi Kurino
2nd Author's Affiliation Nihon University(Nihon Univ.)
3rd Author's Name Toshio Takahashi
3rd Author's Affiliation Japan Organization for Employment of the Elderly, Persons with Disabilities and Job Seeders(JEED)
Date 2018-12-06
Paper # SITE2018-65
Volume (vol) vol.118
Number (no) SITE-345
Page pp.pp.37-43(SITE),
#Pages 7
Date of Issue 2018-11-29 (SITE)