Abstract
Accelerating the pace of technological innovation is the premise to enhance a country's competitive advantage, enrich the people and the country. The basis is provided for the study of the growth model of scientific and technological innovation talents and the implementation of the invigorating the country through science and education and talent power to realize the steady progress of China toward a powerful technological nation. First of all, through the study of the relationship between the impact factors of technological innovation talents and the correlation of indicators, the index system affecting the growth of scientific and technological innovation talents is established; Secondly, the network topology is analyzed, Through the study of local attributes, global attributes and comprehensive attributes of complex networks, the evaluation model of node importance in complex network of scientific and technological innovation talents system is constructed respectively; Finally, combining the empirical analysis and data synthesis analysis, the importance evaluation model of network nodes is constructed, and the exact importance ranking of complex network nodes is obtained. The empirical results show that the complex network system has strong rationality, objectivity and effectiveness in dealing with the factors influencing the growth of scientific and technological innovation talents.
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