• DocumentCode
    589144
  • Title

    Viewers´ Side Analysis of Social Interests

  • Author

    Mitamura, Takeshi ; Yoshida, Kenta

  • Author_Institution
    Japan Registry Services Co., Ltd., Univ. of Tsukuba, Tokyo, Japan
  • fYear
    2012
  • fDate
    10-10 Dec. 2012
  • Firstpage
    301
  • Lastpage
    308
  • Abstract
    This paper proposes a method for analyzing social interests. The most important characteristic of the proposed method is that its analysis is not disturbed by stealth marketing. Since conventional methods analyze social interests using posters´ behavior, stealth marketers can mislead conventional methods by posting unreliable information. To solve this problem, the proposed method analyzes viewers´ behavior. DNS query logs are the information source used to analyze viewers´ behavior. By counting the number of viewers for each website, the proposed method tries to find current issues that attract social interests. The second characteristic of the proposed method is the use of cardinality. Cardinality is the number of unique viewers for each WWW page. Since the DNS caching mechanism hides the real access frequency of WWW pages, the proposed method uses cardinality to count the number of unique viewers. To show the usefulness of the proposed method, we have analyzed how Japanese people reacted on the eco-point system and the switchover to the digital TV broadcasts. The ability to analyze the relationship between the social interests and their changes is the third characteristic of the proposed method and is revealed by the experiments which use a three-year long country level DNS query log.
  • Keywords
    Internet; Web sites; cache storage; marketing; query processing; social aspects of automation; DNS caching mechanism; Japanese people; WWW page; WWW pages; Web sites; cardinality; digital TV broadcasts; eco-point system; information sources; poster behavior; social interest analysis; stealth marketers; stealth marketing; three-year long country level DNS query log; viewer side analysis; Digital TV; Government; IP networks; Internet; Predictive models; Servers; Switches; Cardinality; DNS; Social Interest; poster; viewer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on
  • Conference_Location
    Brussels
  • Print_ISBN
    978-1-4673-5164-5
  • Type

    conf

  • DOI
    10.1109/ICDMW.2012.28
  • Filename
    6406455