Higher-order cycle induced tension:Collaborative stability and innovation constraints in digital innovation networks

The replication of the network-related analyses in this study relies on Python. The codes used to reproduce Figures 2 to Figures 7 are provided in the folder “\data\prepare\code”.

It should be noted that the raw data used in this study consist of two original datasets, namely “全国各地区-经纬度数据.xlsx” and “省市县数字核心关键技术数据.xlsx”. Prior to reproducing the figures and tables reported in the paper, the script “01prepare.py” should be executed first,
followed sequentially by “02...”, “03...”, “04...”, “05...”, and “06...”.

To reproduce the results reported in Table 1,
the corresponding Stata do-file can be executed directly in Stata.

本研究中网络相关分析的复现工作依托Python编程语言实现。用于复现图2至图7的代码已存放于“datapreparecode”文件夹中。

需说明的是，本研究使用的原始数据由两套原始数据集构成，分别为“全国各地区-经纬度数据.xlsx”与“省市县数字核心关键技术数据.xlsx”。在复现论文中报告的图表与表格结果前，需先运行脚本“01prepare.py”，随后依次运行“02...”、“03...”、“04...”、“05...”及“06...”。

若要复现表1中报告的结果，可直接在Stata软件中运行对应的Stata do文件。