• DocumentCode
    3037282
  • Title

    Collaborative Discovering Influences of News in Social Network Sites

  • Author

    Li Ho Leung ; Ng, Vincent T. Y. ; Shiu, Simon C. K.

  • Author_Institution
    Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    712
  • Lastpage
    717
  • Abstract
    In many cases, news articles are shared in Online Social Network (OSN) sites by their members. Disparate kinds of information are often propagated from the news media to the online social networks. Little efforts were devoted to measure or estimate the social influences of news media on the online social networks when compared to the identifications of their connectivity. In this paper, we took references on measurements of social influences among individuals in online social network and derived absolute, relative and combined measurements in order to deduce the social influences of single news article. Those measurements can be extended to a set of news articles and a social medium hence they can be used to evaluate and compare the social influences of the numerous news media. Experiments to compare the performances of the proposed measurements will also be demonstrated and discussed.
  • Keywords
    social aspects of automation; social networking (online); OSN sites; news article sharing; news media; online social network sites; online social networks; social influence measurements; Communities; Couplings; Media; Sociology; Statistics; Twitter; Influential measurements; social influences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.126
  • Filename
    6721879