Computer Science

Computer Science ›› 2023, Vol. 50 ›› Issue (6A): 220100189-7.doi: 10.11896/jsjkx.220100189

• Information Security • Previous Articles     Next Articles

Rumor Propagation Model of Microblog Network with Attenuation Effect and Forgetting Mechanism

WANG Han, LIU Wanping, LU Ling   

  1. College of Computer Science and Engineering,Chongqing University of Technology,Chongqing 400054,China
  • Online:2023-06-10 Published:2023-06-12
  • About author:WANG Han,born in 1997,postgra-duate.His main research interests include rumor propagation and complex networks. LIU Wanping,born in 1986,Ph.D,associate professor,master supervisor,is a member of China Computer Federation.His main research interests include network propagation control and information security.
  • Supported by:
    Natural Science Foundation of Chongqing,China(cstc2021jcyj-msxmX0594) and National Social Science Fund of China(17XXW005).

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Abstract: With the rapid growth of microblog users,the control of network rumors becomes more important.In order to quiet down quickly the microblog rumors,and reduce the propagation range of rumors on microblog network,the key factors affecting the propagation of rumors are studied.Firstly,the UNFR propagating model is innovatively proposed by combining the spreading scene of rumors on microblog network,the model divides users into four categories:unknown,neutral,forwarder and refuter.Node state transitions of model are redefined by considering attenuation effect and forgetting mechanism.Through dynamics ana-lysis of the model and numerical experiments,the propagation regulations of network rumors are analyzed.Then,the rationality of the model is verified by propagation simulation experiments on microblog network.The method of reducing the propagation range of rumors is obtained by analyzing the influences of model parameters on rumor propagation.Finally,the control effects of para-meters under different initial values of rumor are studied,and effective control strategies of microblog rumors are proposed according to the experimental results.

Key words: Network rumor, Rumor spreading, Dynamic model, Attenuation effect, Forgetting mechanism

CLC Number: 

  • TP391.9
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