• DocumentCode
    3066147
  • Title

    Topic Propagation Model Based on Diffusion Threshold in Blog Networks

  • Author

    Yunzhong Cao ; Peiji Shao ; Liangqiang Li

  • Author_Institution
    Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2011
  • fDate
    29-31 July 2011
  • Firstpage
    539
  • Lastpage
    542
  • Abstract
    On the basis of depth study of dynamic propagation process, a propagation model based on diffusion threshold is established by taking use of social networks and epidemic theory. The threshold function of nodes in blog networks is proposed. The quantitative relationship among the propagation result, initial state, diffusion rate of topics and popularity of initial diffusion nodes in blog network is obtained by computer simulation. The experiment results show that the proposed model can simulate well the information propagation process of blog network. This model has established a certain basis for public opinion monitoring and intervention, and provided a feasible means for accurate network marketing in companies.
  • Keywords
    marketing data processing; social networking (online); blog networks; computer simulation; diffusion rate; diffusion threshold; epidemic theory; information propagation process; initial diffusion nodes; network marketing; public opinion intervention; public opinion monitoring; social networks; topic propagation model; Analytical models; Blogs; Computational modeling; Network topology; Shape; Social network services; Topology; blog network; diffusion threshold; node popularity; topic propagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Computing and Global Informatization (BCGIN), 2011 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4577-0788-9
  • Electronic_ISBN
    978-0-7695-4464-9
  • Type

    conf

  • DOI
    10.1109/BCGIn.2011.142
  • Filename
    6003944