• DocumentCode
    235485
  • Title

    Propagation regularity of hot topics in Sina Weibo based on SIR model — A simulation research

  • Author

    Donghui Li ; Yuqing Zhang ; Xin Chen ; Long Cao

  • Author_Institution
    China Univ. of Geosci., Beijing, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    310
  • Lastpage
    315
  • Abstract
    Sina Weibo, as one of the most popular and fast growing social network, has gradually become the field where hot topics appear, propagate, and outbreak. In order to explore and find out the propagating regularity of hot topics on the platform of micro-blog, a novel approach based on a well-known epidemic model called SIR is proposed in this paper to understand and explain hot topics spreading dynamics, which takes the structure information and propagation characteristics of Sina Weibo into consideration. The event of flight MH370 vanished is being used to test the modified topic transmission model based on SIR. The experimental results show that the fitting degree between simulation results and the historical data is high and indicates that there is a high feasibility of this model to research on the propagating regularity of hot topics spreading on Sina Weibo.
  • Keywords
    epidemics; information dissemination; social networking (online); SIR model; Sina Weibo; epidemic model; flight MH370; hot topics propagation regularity; hot topics spreading dynamics; microblog; social network; topic transmission model; Blogs; Data models; Nonhomogeneous media; Epidemic Model; Hot Topics; Propagating Regularity; SIR; Simulation; Sina Weibo;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communications and IT Applications Conference (ComComAp), 2014 IEEE
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4813-0
  • Type

    conf

  • DOI
    10.1109/ComComAp.2014.7017216
  • Filename
    7017216