Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (6A): 230500107-6.doi: 10.11896/jsjkx.230500107

• Big Data & Data Science • Previous Articles     Next Articles

Study on Communication Simulation of Online Hot Search Topics Based on SEIR Model

YIN Yanyan1, WANG Keke2, TIAN Jiaojiao3, LI Mo4, XUE Yaxin5, LU Chunyu6, ZHAO Yunpeng2   

  1. 1 Beijing Normal University-Hong Kong Baptist University United International College,Zhuhai,Guangdong 519087,China
    2 China Aerospace Academy of Systems Science and Engineering,Beijing 100037,China
    3 Changchun Public Security Bureau,Changchun 130012,China
    4 National Security Science and Technology Evaluation Center,Beijing 100044,China
    5 China Academy of Space Technology,Beijing 100094,China
    6 China Academy of Industrial Internet,Beijing 100102,China
  • Published:2024-06-06
  • About author:YIN Yanyan,born in 1992,postgra-duate.Her main research interests include dissemination and business administration.
    WANG Keke,born in 1986,postgra-duate,senior engineer,is a senior member of CCF(No.C3050S).His main research interests include risk assessment,scripting language security,virus and multimedia security.

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Abstract: Online hot search topics have the phenomenon of dissemination and diffusion.The current research on online hot search topics mainly focuses on the evaluation of communication effects,prediction of communication trends,social impact evaluation and public opinion guidance,while the research on online hot search topics fails to reveal the impact of communication dynamics parameters on the communication process.In this paper,the SEIR model is used to construct the dynamic model of the online hot search topic propagation,and the influence of the network average degree,the distrust probability,the immediate transmission probability after contact,the infection rate,the cure rate and the recurrence rate on the model are analyzed.

Key words: SEIR, Online, Hot search, Topics, Communication

CLC Number: 

  • TP391.1
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