[Purpose/Significance] Under the background of the new generation of information technology revolution, the selective behavior of government data sharing in urban agglomeration and its relationship structure are discussed and analyzed. [Method/Process] Based on the inter-governmental interaction, the paper used social network analysis method to quantitatively analyze the structure of inter-regional and inter-departmental data sharing network in the Yangtze River Delta region. [Result/Conclusion] The results show that the data sharing network of current Chinese urban agglomerations has a low level and its structure needs to be optimized. The formation of urban agglomeration data sharing network is mainly driven by compulsion, but it has evolved into self-organizing network. The nature of data and the original inter-governmental relationship have an important impact on the behavior selection of relevant governmental subjects in urban agglomerations. Furthermore, the paper puts forward some policy suggestions to strengthen the cultivation of self-organizing network, enhance the policy coordination and reform the system of data governance.
Wen Xuemei
. Research on the Network Structure of Government Data Sharing in Urban Agglomerations: A Case Study of the Yangtze River Delta Region[J]. Library and Information Service, 2023
, 67(10)
: 26
-37
.
DOI: 10.13266/j.issn.0252-3116.2023.10.003
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