聚类分析
计算机科学
相似性(几何)
社会网络分析
灰色关联分析
情绪分析
社交网络(社会语言学)
群体决策
人工智能
社会动力
动力学(音乐)
数据挖掘
心理学
数学
社会心理学
统计
社会化媒体
万维网
教育学
图像(数学)
作者
Пэйдэ Лю,Peng Wang,Peng Wang,Xiao-Ming Wu
标识
DOI:10.1016/j.ins.2023.119545
摘要
In combination with social networks, opinion dynamics models can effectively describe the interaction and exchange of opinions between experts in social network group decision-making (SNGDM). Usually, the opinion dynamics model allows all experts to be involved in the interaction process simultaneously. However, if a subgroup has a dominant influence in SNGDM, the authoritative subgroup can easily control the group opinion. Therefore, we propose the grey relational analysis (GRA)- and clustering-based opinion dynamics model to avoid this situation. First, this paper applies a new operator to social network analysis (SNA) to obtain complete social relationships among experts. Next, we propose an improved k-means clustering method based on experts’ social relationships and opinion similarity. Then, based on SNA, GRA, and clustering results, a novel opinion dynamics model is proposed to weaken the influence of the authoritative subgroup. Finally, the validity of the proposed model is demonstrated through numerical examples and comparative analyses.
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