• DocumentCode
    1723502
  • Title

    A novel SCNDR rumor propagation model on online social networks

  • Author

    Weijun Hong ; Zhipeng Gao ; Yuwen Hao ; Xiaoxue Li

  • fYear
    2015
  • Firstpage
    154
  • Lastpage
    155
  • Abstract
    With the rapid development of online social networks, the spread of online rumors will result in serious social problems. How to correctly understand the propagation rules of online rumors, and effectively control the spread of online rumors, has very important research. Based on the detailed analysis of the classic epidemic spreading model, this paper divides the infected states into credulous(C), neutrals(N) and denies(D) according to the characteristics of online social networks, then proposes the new SCNDR rumor propagation model on online social networks. Based on the SCNDR model, derives the dynamic differential equations and designs the algorithm for SCNDR.
  • Keywords
    social networking (online); social sciences computing; SCNDR rumor propagation model; epidemic spreading model; online rumors; online social networks; Algorithm design and analysis; Analytical models; Differential equations; Heuristic algorithms; Mathematical model; Numerical models; Social network services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICCE-TW.2015.7216829
  • Filename
    7216829