Presentation 2020-09-09
Follower Analysis of Shopping Malls in Twitter
Mantaro Yamada, Xueting Wang, Toshihiko Yamasaki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this work, we analyze the features of shopping malls by using the data in Twitter. By focusing on the followers of official shopping malls' accounts in Twitter, we reveal the characteristics of the fans of each shopping mall and the similarities among them. This analysis is expected to be used for important applications such as effective promotion or marketing strategies to enhance the value of shipping malls.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Social media / Shopping mall / Twitter / Follower analysis
Paper # MVE2020-13
Date of Issue 2020-09-01 (MVE)

Conference Information
Committee MVE
Conference Date 2020/9/8(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Masayuki Ihara(NTT)
Vice Chair Kiyoshi Kiyokawa(NAIST)
Secretary Kiyoshi Kiyokawa(Oosaka Inst. of Tech.)
Assistant Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT)

Paper Information
Registration To Technical Committee on Media Experience and Virtual Environment
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Follower Analysis of Shopping Malls in Twitter
Sub Title (in English)
Keyword(1) Social media
Keyword(2) Shopping mall
Keyword(3) Twitter
Keyword(4) Follower analysis
1st Author's Name Mantaro Yamada
1st Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
2nd Author's Name Xueting Wang
2nd Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
3rd Author's Name Toshihiko Yamasaki
3rd Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
Date 2020-09-09
Paper # MVE2020-13
Volume (vol) vol.120
Number (no) MVE-160
Page pp.pp.15-20(MVE),
#Pages 6
Date of Issue 2020-09-01 (MVE)