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Complex Network of Scientific Talent Migration in Discrete Dynamics from 2001 to 2013

机译:2001年至2013年离散动态的科学人才迁移复杂网络

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Scientific talents can make great contributions, including scientific breakthrough innovations and discoveries, and coordinate and guide the actions of many others, propelling the scientific knowledge frontier. We investigate international scientific talent migration from 2001 to 2013 with the quantitative method. The relationship between complex network and international talent migration is introduced. Considering most of talents migrate between some countries with good economy and innovation, the migration network including 37 countries is analysed. The countries are noted by nodes of the migration network, and the migratory flow of talents from one country to another country is viewed as the directed weight edge between the corresponding nodes. The discrete dynamics of talent migration under complex network is proposed. The unknown parameters of the proposed model are identified. The overall situation and time evolution of international talent migration from 2001 to 2013 are given from the discussion on the indicators of complex network. Furthermore, we study the talent migration flows in the view of obstacle factors. It is found that the great majority of talents migrate between developed countries and emerging economies from 2001 to 2013, and this phenomenon becomes more significant. The USA has attracted a great number of talents all over the world, and the country is also the ideal destination for talents who want to live or work in another country for more job opportunities, attractive payment, and better innovation environment. China and India begin to attract talents. Talents emigrate from more and more original countries. It becomes more convenient for talents to immigrate to other countries. The effectiveness of obstructs to migration has become weakening. For immigrating to a certain country, the obstacles have a relationship with the country’s innovation.
机译:科学人才可以做出巨大的贡献,包括科学突破性的创新和发现,并协调和指导许多其他人的行为,推动科学知识边境。我们将2001年至2013年调查国际科学人才迁移,定量方法。介绍了复杂网络与国际人才迁移之间的关系。考虑到大多数人之间的才能迁移有经济良好和创新的国家,分析包括37个国家的移民网络。迁移网络的节点注意到各国,从一个国家到另一个国家的人才的迁移流程被视为相应节点之间的定向权重边缘。提出了复杂网络下的人才迁移的离散动态。鉴定了所提出的模型的未知参数。 2001年至2013年国际人才迁移的整体情况和时间演变是讨论复杂网络指标的讨论。此外,我们研究了障碍因素的观点中的人才迁移流动。结果发现,从2001年至2013年发达国家和新兴经济体之间的大多数人才迁移,这种现象变得更加重要。美国在世界各地吸引了大量的才能,而且该国也是想要在另一个国家生活或工作的理想目的地,以获得更多的工作机会,有吸引力的付款和更好的创新环境。中国和印度开始吸引人才。才能从越来越多的原始国家移民。将人才移民到其他国家变得更加方便。障碍对移民的有效性已经变得削弱。为了移民到某个国家,障碍与该国的创新有关系。

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