文章摘要
牛奉高,李志欣.基于论文合著的校企合作研究——以机器学习领域为例[J].情报工程,2019,(2):049-057
基于论文合著的校企合作研究——以机器学习领域为例
Study on University-Industry Cooperation Based on SNA and Biclustering
  
DOI:10.3772/j.issn.2095-915X.2019.02.005
中文关键词: 校企合作  社会网络分析  双向聚类  “马太效应”
英文关键词: University-Industry collaboration  social network analysis  biclustering  matthew effect
基金项目:国家自然科学基金项目 “ 共现潜在语义向量空间模型及其语义核的构建与应用研究 ”(71503151);山西省高等学校创新人才支持计划 “ 基于潜在语义的文本信息主题深度聚类研究 ”(2016052006)。
作者单位
牛奉高 1.山西大学数学科学学院2.山西大学管理与决策研究所 
李志欣 1.山西大学数学科学学院3.山西大学管理与决策研究所 
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中文摘要:
      校企合作是培养复合型人才、实现知识转化为技术成果的有效途径,通过文献中高校与企业间的合著论文关系,建立校企合作网络,通过网络分析发现校企合作机制的不足。从中国知网 CNKI中选取 2008—2017 年发表的主题为 “ 机器学习 ” 的期刊文献作为研究样本,借助社会网络分析软件Ucinet 和聚类分析软件 gCLUTO 对高校与企业在机器学习领域的科研合作现状进行分析。研究结果发现,校企合作中呈现出一种 “ 马太效应 ”,即企业能从明星学校中获得更强的技术支持,更愿意与知名高校进行创新合作。对于这一结论,从明星高校与企业两大方面进行了原因的讨论分析,在此基础上,提出一些校企合作网络的优化建议,以缓解校企合作中的 “ 马太效应 ”。
英文摘要:
      University-Industry cooperation is an effective way to cultivate compound talents and realize knowledge transfor-mation into technological achievements. Through the co-authored paper relationship between universities and enterprises in the literature, a school-enterprise cooperation network was established, and the lack of University-Industry cooperation mechanism was also found through network analysis. In this paper, we selected the theme of “machine learning” journal literature published during 2008-2017 from the CKNI as the research data. Ucinet, a social network analysis software, and gCLUTO, a cluster anal-ysis software were used to analyze the status of University-Industry cooperation the field of machine learning. The study found that there is a “Matthew Effect” in the cooperation between universities and enterprises. That is, enterprises can obtain stronger technical support from star schools and are more willing to carry out innovative cooperation with famous universities. For this conclusion, the author analyzed the causes of star colleges and universities from two aspects. On this basis, some optimization suggestions for cooperation network between universities and enterprises are proposed to ease the “Matthew Effect” in the coop-eration between universities and enterprises.
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