[1]陈琼? 江志莲 王代楠.基于复杂网络的舆情演化机理研究[J].信息化理论与实践,2021,(01):108-118.
　Research on the Public Opinion Evolution based on Complex Network Chen Qiong1 Jiang Zhilian2 Wang Dainan1[J].Information Theory and Practice,2021,(01):108-118.
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基于复杂网络的舆情演化机理研究()
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《信息化理论与实践》[ISSN:2520-5862/CN:]

卷:
期数:
2021年01
页码:
108-118
栏目:
出版日期:
2021-12-31

文章信息/Info

Title:
Research on the Public Opinion Evolution based on Complex Network Chen Qiong1 Jiang Zhilian2 Wang Dainan1
作者:
陈琼? 江志莲 王代楠
福州大学经济与管理学院
Author(s):
1
(School of Economics and Management, Fuzhou University, Fuzhou 350108, China) 2(library, Fuzhou University, Fuzhou 350108,Chaina)
关键词:
舆情演化 复杂网络 Deffuant模型
Keywords:
public opinion complex network Deffuant model
摘要:
目的]构建符合实际的舆情演化模型，为相关部门合理引导舆情健康发展提供借鉴。[方法]以改进的Deffuant模型定义个体之间的交互规则，构建基于复杂网络的舆情演化模型。利用Anylogic平台进行仿真，分析不同因素对舆情演化过程的影响。[结果]仿真结果表明，平均节点度、个体间信任度、政府和媒体影响力都会对舆情的演化趋势产生显著影响。[局限]本文建立的交互规则需要考虑不同主体之间的差异性，进一步区别和划分主体类别和属性。[结论]通过对舆情演化过程的建模以及对仿真结果的分析，揭示了舆情演化发展规律。
Abstract:
Objective]The paper constructs a realistic public opinion evolution model to provide guidance for relevant departments to the health development of public opinion .[Methods]The paper uses the improved Deffuant model to set rules of interaction among the subjects, and construct a public opinion evolution model based on complex network. Then, use software Anylogic for subject interaction simulation, and analyse the influence of various factors on the evolution of public opinion.[Results]]The simulation results show th at node degree, trust, government and media effects all have the significant influence on the public opinion evolution. [Limitations]The model constructed in this paper should consider the differences among subjects and distinguish different attributes. [Conclusions]By analyzing the progress of public opinion evolution and the simulation results, we can grasp the rules of public opinion evolution.

参考文献/References:

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更新日期/Last Update: 2022-12-20