Abstract: Hot topics of public concerns over social events often capture wide attention. Research on the social network structure of the events helps the guidance on network public opinion in a more effective way. Analyzing three aspects of density interval, centrality and cohesive subgroup that is based on social network analysis (SNA) and Ucinet software, we focus on the hot topics of public concerns over social events in recent five years between 2017 and 2022, and we study in this paper the network public opinion communication of the topics through social media platform Weibo and how it applied research in the network structure of social events. The result presents the network structure of high connectivity between nodes, low interaction and core positions of some Weibo common users nodes and Weibo celebrities nodes in their increasing influence. Therefore, ordinary audience, to a certain extent, are much more likely to get attracted to and involved in network public opinion on hot topics of public concerns over social events. The conclusion of this application study on social network analysis can provide a theoretical reference for the strategies relating to guidance on network public opinion.

Key words: social network analysis, social events, network structure, social media, network public opinion propagation

摘要： 社会事件作为民众关心的热点往往会在传播中引发大量关注，对其传播的研究有利于有效把握网络舆情导向.通过社会网络分析(social network analysis, SNA)和Ucinet软件, 关注2017—2022年社交媒体微博上近5年热点社会事件的网络舆情传播，对其密度距离、中心性和凝聚子群3个维度进行分析，将其应用于社会事件的网络结构研究.分析结果表明该社会事件网络的节点间连接度较高，交互度偏低、部分微博普通用户节点和微博大V节点影响力变大，处于网络核心位置，社会热点事件类的网络舆情在一定程度上更为容易引起一般群众的注意力与参与度.研究认为社会网络分析法的应用结构可为网络舆情的治理与引导提供策略和建议.

关键词: 社会网络分析, 社会事件, 网络结构, 社交媒体, 网络舆情传播