网络群体极化现象的形成机理及仿真实验研究
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摘要
以舆情热度、环境透明度和网民理性度为主要影响因素,研究网络群体极化现象的形成机理。采用层次分析法确定因素的权重,将多维态度值引入J-A模型,分析不同权重下的影响因素对极化过程及结果的影响;基于多主体社会系统,仿真具有100个节点的BA网络下多维态度的群体极化过程,同时分析了收敛参数对群体极化的影响。仿真实验结果表明,参数的变化会影响极化过程,但不能改变极化的最终结果。多维态度评价有利于减少极端情形的发生。
This paper analyzes formation of group polarization phenomenon based on the main factors including public opinion heat,environmental transparency and rationality of netizens. Firstly,analytic hierarchy process( AHP)is used to determine the weight of all factors and then muli-attitude values are introduced to the J-A model in order to discuss the effects of influencing factors on the polarization process under different weights. Based on multi-agent society system,a BA network with 100 nodes is used to simulate the polarization process. Meanwhile,the influences of related convergence parameters on polarization are also analyzed. The simulation results show that multi-attitude evolution is helpful to reduce the occurrence of polarization. In addition,the changes of parameters can affect polarization process but not change the final polarization results.
This paper analyzes formation of group polarization phenomenon based on the main factors including public opinion heat,environmental transparency and rationality of netizens. Firstly,analytic hierarchy process( AHP)is used to determine the weight of all factors and then muli-attitude values are introduced to the J-A model in order to discuss the effects of influencing factors on the polarization process under different weights. Based on multi-agent society system,a BA network with 100 nodes is used to simulate the polarization process. Meanwhile,the influences of related convergence parameters on polarization are also analyzed. The simulation results show that multi-attitude evolution is helpful to reduce the occurrence of polarization. In addition,the changes of parameters can affect polarization process but not change the final polarization results.
引文
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[3]陈成梦,杨星星,沈丽君.群体极化的动力机制研究[J].改革与开放,2017(16):80-81.
[4]王飞,张生财,魏云.网络舆情中群体极化现象的动力机制仿真和调控策略研究[J].警察技术,2017(4):37-40.
[5]伊丽莎白·诺尔-诺依曼.沉默的螺旋[M].董璐,译.北京:北京大学出版社,2013:87-95.
[6]毛新军,王怀明,陈火旺,等. Agent计算的理论框架[J].计算机研究与发展,1999,36(11):1311-1315.
[2] JAGER W,AMBLARD F. Uniformity,Bipolarization and Pluriformity Captured as Generic Stylized Behavior With an Agent-Based Simulation Model of Attitude Change[J].Computational and Mathematical Organization Theory,2005,10(4):295-303.
[3]陈成梦,杨星星,沈丽君.群体极化的动力机制研究[J].改革与开放,2017(16):80-81.
[4]王飞,张生财,魏云.网络舆情中群体极化现象的动力机制仿真和调控策略研究[J].警察技术,2017(4):37-40.
[5]伊丽莎白·诺尔-诺依曼.沉默的螺旋[M].董璐,译.北京:北京大学出版社,2013:87-95.
[6]毛新军,王怀明,陈火旺,等. Agent计算的理论框架[J].计算机研究与发展,1999,36(11):1311-1315.