中国省际科技人才流动网络及其阻碍因素

 将中国科技人才省际流动这一社会学问题抽象成复杂网络问题进行定量化研究，构建相应的网络化数学模型。基于文献计量获得2010-2017年中国各个省份之间科技人才流动的数据，应用复杂网络的各项指标分析可以得到2010-2017年科技人才省际流动的变化趋势和特点。应用假设分析方法，定量化分析在科技人才流动中阻碍因素的作用程度。

Networked analysis on scientific talent migration between provinces in China and its obstructive effectiveness

Talents are the foundation of entrepreneurship and the driver of prosperity. The essence of innovation-driven development is talent-driven. Scientific talents are the most critical driving force and decisive factor in the development of economy. There are fierce talent competitions between different regions in China. In this paper we abstract talent migration between different provinces in China as a complex network, and propose an associated networked model. Based on bibliometrics, we get the data about talent migration between different provinces from 2010 to 2017. We combine the data and the propose a networked model to study the evolution of talent migration in China by analyzing the evolution of some indicators of the network. In addition, we also study the talent migration flows in a view of obstacle factors by the way of assuming an obstacle-free framework. We hope that the results can be used to make policies about talents for governments and support to analyze social problems in quantification.