管理评论

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

• 技术与创新管理 • 上一篇    下一篇

“物以类聚,校以群分”?双一流建设中的高校科研合作——基于文献分析视角

王宗水1,2, 刘海燕3, 汪寿阳3,4   

  1. 1. 北京信息科技大学经济管理学院, 北京 100192;
    2. 中国科学院大学数学科学学院, 北京 100190;
    3. 中国科学院数学与系统科学研究院, 北京 100190;
    4. 中国科学院大学经济与管理学院, 北京 100190
  • 收稿日期:2019-02-01 出版日期:2019-10-28 发布日期:2019-11-05
  • 通讯作者: 刘海燕(通讯作者),中国科学院数学与系统科学研究院博士后
  • 作者简介:王宗水,北京信息科技大学副教授,硕士生导师;汪寿阳,中国科学院数学与系统科学研究院、中国科学院大学经济与管理学院教授,博士生导师。
  • 基金资助:

    国家重点研发计划项目（2017YFB1400500）；北京市教委社科一般项目（SM201911232005）；北京信息科技大学"勤信人才"培训计划项目（QXTCP B201906）。

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

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摘要：

本文以中国知网（CNKI）为数据源，通过对自然科学领域的137种期刊的41104篇文章和社会科学领域的104种期刊的16383篇文章分析，来研究当前双一流建设环境下，不同类型高校间的科研合作情况，探究其是否存在"物以类聚"的现象。通过统计分析和社会网络分析发现：（1）在自然科学领域和社会科学领域双一流建设高校高质量研究成果的数量明显高于其他类型高校；（2）科研合作网络的度分布函数呈幂律特性且具有较小的网络平均距离，表明科研合作网络具有小世界属性；（3）自然科学和社会科学研究中高校间的科研合作频次都较低，表明大多数高质量科研成果为高校内部合作或独立完成，双一流建设高校间的均合作频次高于与非双一流建设高校间的合作频次，存在"物以类聚"的现象，但双一流建设高校与非双一流建设高校间具有较高的共现系数，表明两者关系较为密切。最后，从国家、地方政府和高校层面提出相应的高校科研合作建议。

关键词: 双一流建设, 科研合作, 网络结构, 文献分析

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