Computer Science ›› 2024, Vol. 51 ›› Issue (2): 15-26.doi: 10.11896/jsjkx.230100072

• Discipline Frontier • Previous Articles     Next Articles

Review of Public Opinion Dynamics Models

LIU Shuxian, XU Huan, WANG Wei, DENG Le   

  1. College of Information Science and Engineering,Xinjiang University,Urumqi 830046,China
  • Received:2023-01-16 Revised:2023-04-28 Online:2024-02-15 Published:2024-02-22
  • About author:LIU Shuxian,born in 1978,master,associate professor.Her main research interests include public opinion analysis,blockchain security technology,machine learning,etc.XU Huan,born in 1996,postgraduate.His main research interests include public opinion analysis and aspect-based sentiment analysis.
  • Supported by:
    National Natural Science Foundation of China(61762085) and Natural Science Foundation of Xinjiang Uygur Autonomous Region,China(2019D01C081).

Abstract: Social network provides a medium for information dissemination,leading to the rapid development of public opinion.Controlling the development direction of public opinion is one of the core issues of public opinion dynamics.However,the public opinion dynamics model mainly studies the way of updating the opinions of the subject so as to deduce the law of public opinion evolution.This paper classifies the current public opinion dynamics models,analyzes their advantages and disadvantages,and their applications in different fields,and summarizes the future research direction of public opinion dynamics.It is helpful to understand the law of the evolution of public opinion,so as to provide better guidance for the government and other institutions to control the direction of public opinion.

Key words: Public opinion, Dynamics of public opinion, Public opinion evolution

CLC Number: 

  • TP391
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