[目的/意义]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。[方法/过程]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。[结果/结论]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,围绕该要素开展的研
[Purpose / Significance] This paper aims to provide a valuable reference for the following research on the connotation and trend of moral cluster. [Method / Process] Using CiteSpace and Minitab statistical software, this paper analyzes 1236 related literatures in the core collection of web of science from 2010 to 2020 based on the bibliometric theory. [Result / Conclusion] The results of bibliometric analysis show that: there are 10 clusters in the research of moral emotion problems in network cluster behavior. And based on the analysis of the internal correlation degree of each topic cluster, it is found that altruism, religion, mind, network and self are the five most concerned frontier factors. Importantly, the research around these factors has continuously promoted the research of moral emotion problems in online behavior that we need to go deep.