Author(s)

Wenyu Zhang, Yuan Yang, Danshu Wang, Yuting Zhu and Songmin Zhao

Corresponding Author

Wenyu Zhang

Abstract

In order to conduct a systematic study on the key factors in the process of technological innovation talents (TIT) training in China and to develop training strategies for high level TIT, the paper summarizes the related factors of TIT into 32 statistical indexes of Seven Quotients (SQ) and builds an evaluation index set of key factors of TIT, based on the relevant research achievements of TIT. Then with the application of the complex network theory, a TIT complex network topological model is constructed with the sample data of outstanding and ordinary TIT. Indexes from the perspectives of local, global and comprehensive attributes are built to evaluate the significance of complex network nodes and analyze the key factors of TIT of different levels. In the end, TIT complex network survivability is tested under random attack and deliberate attack with "network weighted average shortest path" and "network natural connectivity" indexes, providing training theories and decision-making references for TIT personalized training and compensatory training mechanism under the condition of insufficient key factors.

Keywords

Technological innovation talents; Key factors; Complex network; Node significance; Network survivability