Computer Science ›› 2019, Vol. 46 ›› Issue (5): 320-326.doi: 10.11896/j.issn.1002-137X.2019.05.050

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Study on Information Propagation Dynamics Model and Opinion Evolution Based on Public Emergencies

LIU Xiao-yang, HE Dao-bing   

  1. (School of Computer Science and Engineering,Chongqing University of Technology,Chongqing 400054,China)
  • Published:2019-05-15

Abstract: Aiming at the problem that the traditional evolutionary model of information dissemination for public emergencies does not introduce dynamic parameters,this paper proposed a dynamic diffusion system for public event information public opinion evolution and mathematical model based on propagation dynamics.Firstly,the information dissemination of public emergencies is analyzed and disigned.Secondly,the dynamic diffusion network is designed and combined with the dynamics to construct the mathematical model of public emergency information propagation.Finally,the model is simulated and analyzed,and compared with real social statistics.The results show that the similarity between experimental data and real data is 0.8386,and the correlation coefficient is 0.8279.The proposed model reveals the inherent laws of micro-individual information exchange and public opinion transmission,and is consistent with the process of real event propagation,which prove that the proposed model is reasonable and effective.

Key words: Dynamic diffusion network, Opinion evolution, Propagation dynamics model, Public emergencies

CLC Number: 

  • TP301
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