特定领域中学术界与工业界机构合作与学术影响力关系研究——来自计算机科学领域的证据  

Relationship Between Academic Influence and Institutional Cooperation in Specific Fields:Evidence from the Computer Science Domain

作　　者：杨裕楷 赵毅 章成志[1] YANG Yukai;ZHAO Yi;ZHANG Chengzhi(Department of Information Management,School of Economics and Management,Nanjing University of Science&Technology,Nanjing 210094)

机构地区：[1]南京理工大学经济管理学院信息管理系,南京210094

出　　处：《科技情报研究》2025年第2期58-71,共14页Scientific Information Research

基　　金：江苏省社会科学基金重点项目“智能化驱动的学者细粒度画像构建研究”(编号:20TQA001)。

摘　　要：[目的/意义]在科学合作中,机构是科学研究中的主要驱动单位。相较机构内合作,跨机构合作往往更具产出高影响力文章的潜力。因此,对机构层面的细粒度合作进行研究具有重要意义。[方法/过程]为了研究不同机构的合作类型与学术影响力之间的关系,本文通过对机构进行分类,定义不同的类型,运用网络分析法,研究不同机构合作类型网络指标与学术影响力之间的关系。[结果/结论]本文以计算机科学领域为例,通过对计算机科学领域不同的机构合作类型网络指标与学术影响力之间的关系分析发现,度中心性和接近中心性与学术影响力呈现正相关的关系,中介中心性则与学术影响力呈负相关关系;而在不同的子领域中,不同的中心性指标与学术影响力之间存在较大差异,与计算机科学领域的整体回归结果也存在较大差异。[Purpose/significance]In scientific collaboration,institutions are the primary driving units of scientific re⁃search.Compared to intra-institutional collaboration,inter-institutional collaboration often has the potential to pro⁃duce high-impact papers.Therefore,studying fine-grained collaboration at the institutional level holds significant im⁃portance.[Method/process]To explore the relationship between different types of institutional cooperation and academ⁃ic influence,this paper classifies institutions and defines various types of cooperation.Using network analysis meth⁃ods,it investigates the relationship between network indicators of different types of institutional cooperation and aca⁃demic influence.[Result/conclusion]Taking the computer science domain as an example,the analysis of the relation⁃ship between network indicators of different types of institutional cooperation and academic influence reveals that de⁃gree centrality and closeness centrality are positively correlated with academic influence,while betweenness centrali⁃ty is negatively correlated with academic influence.Additionally,there are significant differences in the correlation be⁃tween different centrality indicators and academic influence across various subfields,differing markedly from the over⁃all regression results of the computer science field.

关 键 词：科学合作 机构合作网络 合作绩效 学术影响力 

分 类 号：G304[文化科学]