• DocumentCode
    659643
  • Title

    New factors for identifying influential bloggers

  • Author

    Teng-Sheng Moh ; Shola, SivaNaga Prasad

  • Author_Institution
    Dept. of Comput. Sci., San Jose State Univ. San Jose, San Jose, CA, USA
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    18
  • Lastpage
    27
  • Abstract
    Blogs have become a major communication media, and have recently been extremely effective in making political and social changes. It is therefore vital to recognize powerful, persuasive bloggers in a web community. In this work we examine existing models for identifying influential bloggers, and construct an improved model based on two new factors: uniqueness and FacebookCount. The former measures the originality of a post, combining with outlink count they represent the novelty of the post. The latter reflects the influence of emerging social network platforms, and can be extended to include twitter share, G +1´s, etc. The proposed model also adopts other effectual factors including the number of inlinks, outlinks and comments, the timing of posts and of comments, and the influence of commenters. In addition, to capture the true influence of a post we mine through each comment on a post to identify the sentiment, or the tone of the comment. The experiments show that, comparing with an existing model [3], the proposed approach is able to capture the true influence, and to give bloggers distinctive rankings. We believe that the two new factors are timely and are significant for identifying influential bloggers in the blogosphere.
  • Keywords
    data mining; social networking (online); FacebookCount factor; Twitter share; Web community; blogosphere; comment mining; commenter influence; communication media; effectual factors; influential blogger identification; inlink; outlink count; post originality measurement; post timing; sentiment identification; social network platforms; uniqueness factor; Blogs; Communities; Facebook; Indexes; Measurement; Productivity; Blogosphere; Influential Bloggers; Social Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data, 2013 IEEE International Conference on
  • Conference_Location
    Silicon Valley, CA
  • Type

    conf

  • DOI
    10.1109/BigData.2013.6691792
  • Filename
    6691792