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Complex network analysis for international talent mobility based on bibliometrics
- Source :
- International Journal of Innovation Science. 11:419-435
- Publication Year :
- 2019
- Publisher :
- Emerald, 2019.
-
Abstract
- Purpose This paper aims to explore international talent mobility and identify its negative/positive factors. Design/methodology/approach Bibliometric data from Scopus are explicated to model the mobility network and providing a more comprehensive posture. In addition, by using indicators of complex network, significant features of international talent mobility are described quantitatively. After that, by introducing a kind of improved gravity model with multiple linear regression, the authors identify factors to explain international talent mobility flows. Findings With the analysis of international talent mobility in complex network, the overall network is not balanced. A small part of developed countries and developing countries with good emergency attract and drain a lot of talents and talents usually moving between these countries, the amount of talents leaving or entering into other countries is very limited. Furthermore, according to multiple linear regression, it is found that the share of migrants in population is the major negative factor for international talent mobility, and the factors of destination countries is more significant than original countries. Originality/value The result of this paper may support further research studies and political suggestions for cultivating, attracting and retaining scientific and technological talents in the world.
- Subjects :
- education.field_of_study
05 social sciences
Population
General Engineering
Scopus
Developing country
Complex network
Bibliometrics
Politics
Gravity model of trade
Management of Technology and Innovation
0502 economics and business
Regional science
Business
050207 economics
education
Developed country
050203 business & management
Subjects
Details
- ISSN :
- 17572223
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- International Journal of Innovation Science
- Accession number :
- edsair.doi...........6184de64548b06bb5b7f4a5001b225fa