• DocumentCode
    124369
  • Title

    A novel method for information propagation model perceiving

  • Author

    Chengqi Yi ; Yuanyuan Bao ; Siqi Sun ; Yibo Xue

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
  • fYear
    2014
  • fDate
    3-6 Feb. 2014
  • Firstpage
    6
  • Lastpage
    10
  • Abstract
    With the rapid development of Internet, we have to face an increasingly important reality regarding the way in which people propagate information and express their thoughts. Meanwhile, social network has caused the tremendous changes of information propagation model. On this premise, perceiving information propagation model effectively is critical in understanding the rules of information propagation. In this paper, we determine the relationship between modularity and information propagation model, and propose a novel method which combines modularity with triple exponential smoothing model to perceive information propagation mechanism. The experimental results demonstrate the effectiveness of our method in information propagation model perceiving. This method can also predict information propagation trends to a certain extent.
  • Keywords
    Internet; social networking (online); Internet; information propagation model; modularity; social network; triple exponential smoothing model; Analytical models; Communities; Computational modeling; Mathematical model; Smoothing methods; Social network services; Vectors; information propagation model; modularity; social network; triple exponential smoothing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Networking and Communications (ICNC), 2014 International Conference on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ICCNC.2014.6785295
  • Filename
    6785295