• DocumentCode
    3425866
  • Title

    Determining the strength of the propensities of a blog network

  • Author

    Yoon, Seok-Ho ; Kim, Sang-Wook ; Park, Sunju

  • Author_Institution
    Dept. of Electron. & Comput. & Eng., Hanyang Univ.
  • fYear
    2009
  • fDate
    March 30 2009-April 2 2009
  • Firstpage
    140
  • Lastpage
    145
  • Abstract
    A blog network, composed of blogs and their relations, may exhibit two different propensities characterized by the purpose of use: an information-oriented propensity and a friendship-oriented propensity. Both propensities coexist in a blog network, and the degree of these propensities may play an important role in business and policy decisions of blog-related business. In this paper, we propose an automated method for determining the propensity values of a blog network. First, classification is used to judge the propensity values of the relation between two blogs. Then, by adding up the propensity values of all the relations in the network, one determines the propensity values of the whole network. Through extensive experiments using a large volume of real-world blog data, we demonstrate our method achieves a high level of accuracy in determining the propensity values of a relation. The results also suggest the applicability of our approach for determining the propensity values of a network.
  • Keywords
    Web sites; business data processing; pattern classification; blog network; business; classification; friendship-oriented propensity; information-oriented propensity; policy decisions; Blogs; Companies; Information services; Internet; Mouth; Network topology; Public relations; Skin; Social network services; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Data Mining, 2009. CIDM '09. IEEE Symposium on
  • Conference_Location
    Nashville, TN
  • Print_ISBN
    978-1-4244-2765-9
  • Type

    conf

  • DOI
    10.1109/CIDM.2009.4938641
  • Filename
    4938641