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.
WANG Yinqiu
,
LUO Hui
,
SHI Yunyan
. Networked analysis on scientific talent migration between provinces in China and its obstructive effectiveness[J]. Science & Technology Review, 2020
, 38(19)
: 110
-120
.
DOI: 10.3981/j.issn.1000-7857.2020.19.021
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