›› 2019, Vol. 31 ›› Issue (10): 99-109.

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Birds of a Feather Flock Together? A Study of University Scientific Collaboration under the Double First-Rate Policy——Based on Literature Analysis

Wang Zongshui1,2, Liu Haiyan3, Wang Shouyang3,4   

  1. 1. School of Economics and Management, Beijing information Science and Technology University, Beijing 100192;
    2. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100190;
    3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190;
    4. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2019-02-01 Online:2019-10-28 Published:2019-11-05

Abstract:

This paper studies the present situation of university scientific collaboration under the Double First-rate policy by analyzing the papers within CNKI database. By statistical analysis and social network analysis of 41,104 papers from 137 journals of natural science and 16,383 papers from 104 journals of social science, the results show that (1) the universities of Double First-rate published much more high-quality papers than other universities; (2) the node degree of the collaboration networks follow the power-law distribution and with short average distance and the networks have small-world properties; (3) The frequency of both natural and social research science collaboration is relative low, reflecting that most of the papers were fulfilled by internal collaboration or unique affiliation, and the average frequency of collaboration among Double First-rate universities is much higher than other universities, indicating that birds of a feather flock together, yet the co-occurrence coefficient between Double First-rate universities and none Double First-rate universities is higher than other kinds of universities, which means there is a strong collaborative relationship between them. At last, suggestions on collaboration and development strategies are given.

Key words: Double First-rate policy, scientific collaboration, network structure, literature analysis