[目的/意义] 探寻政务大数据政策扩散的规律和机理，为政务大数据政策的制定提供理论支持，提升政策实施效果。[方法/过程] 采用社会网络分析法和主题分析法对213份政务大数据相关政策进行分析，构建政策间的参照关系网络，并基于此分析政策扩散的时间特征、空间特征和主题特征。[结果/结论] 时间维度上，我国政务大数据政策扩散呈现出典型的S曲线扩散特征；空间维度上，呈现地理上的非均衡分布特征和层级上的梯进式特征；主题维度上具备继承性与创新性融合的特征，扩散过程中被参照政策较为核心的价值指向得到了继承。
[Purpose/significance] Exploring the laws and mechanisms of the diffusion of government big data policies, which can not only provide theoretical support for the formulation of future government big data policies, but also improve the effectiveness of policy implementation.[Method/process] The social network analysis method and thematic analysis method were used to analyze 213 government big data policies. This paper constructed a reference relationship network between policies, and analyzed the time characteristics, spatial characteristics and theme features of policy diffusion based on this.[Result/conclusion] In the time dimension, China's government big data policy presents a typical S-curve diffusion feature; in the spatial dimension, it has geographically unbalanced distribution characteristics and hierarchical shading characteristics; in the subject dimension, it has the characteristics of integration with inheritance and innovation, the value of the core value of the reference policy in the process of diffusion has been inherited.
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