[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.
Duan Yaoqing
,
Shang Ting
,
Zhou Mi
. Analysis on the Characteristics and Subjects of China's Government Big Data Policy Diffusion[J]. Library and Information Service, 2020
, 64(13)
: 133
-139
.
DOI: 10.13266/j.issn.0252-3116.2020.13.017
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