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Promotion method by mathematical empirical analysis based on multivariate data on the Web

Research Project

Project/Area Number 16K21009
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Design science
Entertainment and game informatics 1
Research InstitutionGunma University (2017)
The University of Tokyo (2016)

Principal Investigator

Kawahata Yasuko  群馬大学, 社会情報学部, 助教 (20773708)

Project Period (FY) 2016-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Keywordsアウトリーチ / デジタルアーカイブス / 数理モデル / 社会物理 / SNS / アートマネジメント / プロモーション / メディア情報学 / 情報デザイン / メディア情報 / コンテンツ / 情報文化
Outline of Final Research Achievements

We analyzed domestic and overseas social news. Specifically, we focused on domestic and overseas events between 2011 and 2017, focusing on keyword names and related audience rating data, news The number of cases and the number of searches were acquired. And we examined expansion of the mathematical model according to the case of various interests (outreach). In particular, we quantitatively analyzed the difference in communication and the degree of interest in social events overflowing on the Web.The Japanese are by time and language, the expression of interest (usage of each lyrics) and search usage are different I emphasized. In addition, depending on the timing, we also analyzed to focus on the number of users online and the fact that the destination of interest depends on the media.

Report

(3 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • Research Products

    (11 results)

All 2018 2017 2016 Other

All Journal Article (4 results) (of which Peer Reviewed: 4 results,  Open Access: 2 results,  Acknowledgement Compliant: 1 results) Presentation (5 results) (of which Int'l Joint Research: 3 results) Book (1 results) Remarks (1 results)

  • [Journal Article] ネット上の検索行動の数理モデル2018

    • Author(s)
      芦田昇、川畑泰子、石井晃
    • Journal Title

      計測自動制御学会社会システム部会研究会会議録

      Volume: -

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Analysis of EXILE TRIBE in the Music Scene Using Mathematical Model of Hit Phenomenon2017

    • Author(s)
      T Wakabayashi, Y Kawahata and A Ishii
    • Journal Title

      IEEE International Conference on Big Data

      Volume: - Pages: 3069-3073

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Application of an integer-valued autoregressive model to hit phenomena2016

    • Author(s)
      Kawahata Yasuko and Koyama Tamio
    • Journal Title

      Big Data (Big Data), 2016 IEEE International Conference on

      Volume: 16652887 Pages: 2513-2517

    • DOI

      10.1109/bigdata.2016.7840890

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] Analysis of Pokemon GO using sociophysics approach2016

    • Author(s)
      Ishii Akira ,Asito Masanori,and Kawahata Yasuko
    • Journal Title

      Big Data (Big Data), 2016 IEEE International Conference on

      Volume: 16652887 Pages: 3986-3988

    • DOI

      10.1109/bigdata.2016.7841084

    • Related Report
      2016 Research-status Report
    • Peer Reviewed
  • [Presentation] Google Trendを用いた検索の数理モデル2018

    • Author(s)
      芦田昇、川畑泰子、石井晃
    • Organizer
      計算社会科学ワークショップ2018
    • Related Report
      2017 Annual Research Report
  • [Presentation] ネット上の検索行動の数理モデル2018

    • Author(s)
      石井晃、芦田昇、少林俊道、岡野のぞみ、川畑泰子
    • Organizer
      計測自動制御学会社会システム部会研究会
    • Related Report
      2017 Annual Research Report
  • [Presentation] Analysis of EXILE TRIBE in the Music Scene Using Mathematical Model of Hit Phenomenon2017

    • Author(s)
      T Wakabayashi, Y Kawahata and A Ishii
    • Organizer
      IEEE International Conference on Big Data 2017(Boston)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Application of an integer-valued autoregressive model to hit phenomena2016

    • Author(s)
      川畑泰子
    • Organizer
      IEEE BIG DATA 2016
    • Place of Presentation
      Washington, DC, USA
    • Year and Date
      2016-12-05
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Analysis of Pokemon GO using sociophysics approach2016

    • Author(s)
      川畑泰子
    • Organizer
      IEEE BIG DATA 2016
    • Place of Presentation
      Washington, DC, USA
    • Year and Date
      2016-12-05
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Book] 「芸術団体 における社会包摂活動の調査研究」報告書2017

    • Author(s)
      伊藤健,幸地正樹,熊谷薫,友田景,今村由香,小関直人,川畑泰子,木暮拓矢,髙橋かおり
    • Total Pages
      116
    • Publisher
      日本劇団協議会
    • Related Report
      2017 Annual Research Report
  • [Remarks] アジ縁

    • URL

      https://www.asi-en.com/

    • Related Report
      2017 Annual Research Report

URL: 

Published: 2016-04-21   Modified: 2019-03-29  

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