基于观点动力学的社交网络观点共识达成研究
Research on consensus in social networks based on opinion dynamics
投稿时间: 2023/4/20 0:00:00
DOI:
中文关键词: 共识达成;最小调整策略;观点动力学;网络舆论;动态演化
英文关键词: consensus reached; minimum adjustment strategy; opinion dynamics; network public opinion; dynamic evolution
基金项目: 国家自然科学基金(61801264);山东省社会科学基金(19BJCJ47);聊城大学校级人文社科基金(321021948)
姓名 单位
马振 聊城大学图书馆
贾保先 聊城大学计算机学院
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中文摘要:

使用明确的方法和步骤去模拟社交网络中观点达成共识,有助于舆情管理和舆情引导,对促进网络舆情的合理治理具有重要的理论和现实意义。为探究社交网络观点共识的动态演化过程,基于观点动力学视角,建立了观点领袖与支持者合成因素的观点动态演化模型;在此基础上,提出了最小调整策略的共识达成模型;最后,通过仿真模拟实验验证了模型的有效性,通过实例分析验证了模型的可行性。研究有效模拟了社交网络的舆情观点共识达成的动态过程,并形成了有效策略引导舆情导向。

英文摘要:

This paper uses clear methods and steps to simulate views in social networks to reach consensus which is conducive to public opinion management and guidance and has important theoretical and practical significance in promoting the rational governance of online public opinion. In order to explore the dynamic evolution process of social network opinion consensus, the opinion dynamic evolution model is established based on the composite factors of opinion leaders and supporters from the perspective of opinion dynamics; on this basis, the consensus reaching model of minimum adjustment strategy is proposed; finally, the validity of the model is verified through simulation experiments and the feasibility of the model is verified via case analysis. This study effectively simulates the dynamic process of reaching consensus on public opinion on social network and forms effective strategies to guide public opinion.

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