Understanding collaboration patterns on funded research projects: A network analysis

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY

Network Science Pub Date : 2022-11-23 DOI:10.1017/nws.2022.33

Matthew Smith, Y. Sarabi, D. Christopoulos

引用次数: 1

Abstract

Abstract This paper provides an examination of inter-organizational collaboration in the UK research system. Data are collected on organizational collaboration on projects funded by four key UK research councils: Arts and Humanities Research Council, Economic and Social Research Council, Engineering and Physical Sciences Research Council, and Biotechnology and Biological Sciences Research Council. The organizational partnerships include both academic and nonacademic institutions. A collaboration network is created for each research council, and an exponential random graph model is applied to inform on the mechanisms underpinning collaborative tie formation on research council-funded projects. We find that in the sciences, collaborative patterns are much more hierarchical and concentrated in a small handful of actors compared to the social sciences and humanities projects. Institutions that are members of the elite Russell Group (a set of 24 high-ranking UK universities) are much more likely to be involved in collaborations across research councils.

查看原文本刊更多论文

理解资助研究项目的合作模式:网络分析

摘要本文对英国研究系统中的组织间合作进行了考察。数据收集于由四个主要英国研究委员会资助的项目的组织合作:艺术与人文研究委员会、经济与社会研究委员会、工程与物理科学研究委员会以及生物技术与生物科学研究委员会。组织伙伴关系包括学术和非学术机构。为每个研究委员会创建了一个协作网络，并应用指数随机图模型来了解支持研究委员会资助项目的协作关系形成的机制。我们发现，与社会科学和人文学科项目相比，在科学领域，合作模式更加分层，集中在少数参与者身上。精英罗素集团(由24所英国高级大学组成)的成员机构更有可能参与跨研究委员会的合作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

3.50

自引率

5.90%

发文量

期刊介绍： Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.