网络集群行为中道德情绪的研究热点及前沿趋势——基于WOS数据库的可视化分析

Visual Analysis of Research Hotspots of Moral Emotion in Online Collective Behavior--Based on Visual Analysis of the WOS Database

挖掘网络集群行为中道德情绪研究主题间的关联内涵与社会意义,梳理其演化趋势及研究热点,以期为后续研究提供有价值的参考。运用CiteSpace与Minitab数理统计软件,基于文献计量学的理论视角对Web of Science核心合集中2010—2020年的1236篇相关文献展开分析。文献计量分析结果表明:网络集群行为中道德情绪问题研究呈现10大聚类簇,基于对各个主题聚类的内在关联度分析后发现利他主义、宗教、心智、网络与自我共5大备受关注的前沿要素,围绕这些要素开展的研究不断推进网络集群行为中道德情绪问题的研究深度,对于网络集群行为的社会治理具有重要参考价值。

This paper aims to explore the correlative connotation and social significance among the research topics of moral emotion in network cluster behavior,and sort out its evolutionary trend and research hotspots,in order to provide valuable reference for follow-up research.Using CiteSpace and Minitab mathematical statistics software,a total of 1,236 relevant documents in the core collection of web of science from 2010 to 2020 were analyzed from the theoretical perspective of bibliometrics.The results of bibliometric analysis show that the research on moral emotion in online collective behavior presents 10 types of clusters.Based on the internal correlation analysis of each topic cluster,it is found that altruism,religion,mind,network and self are five frontier elements that have attracted much attention.The research carried out around this element continues to promote the research depth of moral emotion in network cluster behavior,which has important reference value for the social governance of network cluster behavior.