中文摘要：

[目的／意义]大数据联盟是大数据成果创造和转化的有效途径，研究其稳定性对我国大数据产业健康具有重要现实意义。[方法／过程]运用CiteSpace软件对大数据联盟稳定性影响因素进行挖掘分析，构建以数据资源匹配程度、数据资源共享程度、数据资源收益程度为核心模块的大数据联盟稳定性系统动力学模型，并采用Vensim PLE软件对模型进行仿真模拟。[结果／结论]结果表明，数据资源市场环境系数、数据资源转移效率、学习系数、合作风险率等因素对联盟稳定性的影响较弱，而数据资源势差、数据资源价值量、成果转化系数、信任程度对大数据联盟的稳定性影响比较大。

英文摘要：

[Purpose/Significance] Big data alliance is an effective way to create and transform large data achievements, and its stability has an important practical significance to health of big data industry in China. [ Mcthod/Process] By using CiteSpace software to analyze the factors influencing the stability of the big data alliance, the paper constructs a system dynamic model of the big data alliance stability with the data resource matching degree, data resource sharing degree and data resource profit degree as the core modules, using Vensim PLE software to simulate the model. [ Result/Conclusion] The results shows that the data resource market environment coefficient, data resource transfer efficiency, learning coefficient and cooperation risk ratio have weak influence on the stability of alliance, while the data resource potential difference, data resource value quantity, achievement transformation coefficient and trust degree have great influence on alliance stability.