[目的/意义]社交媒体中网络舆情的传播使社会矛盾激化、集聚、引爆，对社会稳定和公众价值观都产生 巨大影响。本文试图通过构建社交网络舆情演化图谱和时空数据分析探究舆情演化模式和规律。[方法/过程]本 文基于知识图谱理论，以新浪微博平台上“天和核心舱发射”话题下的网络舆情为例，使用时空大数据挖掘技术， 构建网络舆情演化图谱并挖掘包含空间维、时间维和属性维的舆情演化的时空效应。[结果/结论]舆情主体的不 同属性呈现多维关联模式。基于不同时间序列，社交网络舆情演化主体关系在空间上存在明显的差异性。该事 件下舆情演化符合事件演进规律，具有时空分异特征。本文的研究能够提升舆情监管部门的时空数据管理能力， 为实施有针对性的管控措施提供指导。

 [Purpose/significance] The spread of online public opinion in social media intensifies, gathers and ex? plodes social contradictions, which generates a huge impact on social stability and public values. This paper aims to ex? plore the evolution mode and law of public opinion by constructing the social network public opinion evolution map and analyzing the spatio-temporal data. [Method/process] Based on the knowledge graph theory, this paper takes the topic of“The launch of Tianhe core module”on Sina Weibo as an example and applies the technology of spatiotemporal big data mining to construct the endogenous graph. We further mined the spatiotemporal endogenous effect of public opin? ion evolution from time, space and attribute dimension. [Result/conclusion] Different attributes of public opinion sub? jects present multi-dimensional correlation patterns. The main body relationship of social network public opinion evo? lution shows obvious spatial differences based on different time series. The evolution of public opinion under this event conforms to the law of event evolution and has the characteristics of temporal and spatial differentiation. The research of this paper can improve the spatiotemporal data management ability of public opinion for supervision departments, ac? celerate the realization of intelligent public opinion guidance and control innovation mode. It can also provide guidance for the implementation of targeted control measures.