Unpacking the dynamics of international research collaboration network: Structural effects and dyadic effects

IF 10.1 1区 社会学 Q1 SOCIAL ISSUES
Qinchang Gui , Wei Xu , Shidan Jiang , Zihao Yu , Weidong Guo
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引用次数: 0

Abstract

International collaboration accelerates the diffusion of knowledge in the world, leading to the rise of research network. Nations are embedded in the network, and research collaboration among nations is inevitably influenced by network structure itself. However, the endogenous mechanisms of international research collaboration network have received scant attention. Using co-authorship data across countries for the period 2000–2020, this paper first examines the statistical and topological characteristics of collaboration network. Drawing on recent network dynamics literature, we propose a theoretical framework to understand the network evolution and apply stochastic actor-oriented model in empirical tests. Results indicate that the collaboration network tend to be increasingly cohesive over time and present the coexistence of “hub-and-spoke” and triangulated structure. Our findings indicate the endogenous structural properties play a decisive role in the evolution of international research collaboration networks. The relative importance of the structural effects increased from about 40 % in 2000 to 54 % in 2020. In particular, as international research collaboration networks evolve over time, the influence of both structural effects, triadic closure and preferential attachment, has elevated, suggesting that these two structural network effects mutually reinforce each other and work together to shape the evolution of the network. In terms of dyadic effects, geographic proximity, cognitive proximity and talent mobility are positively and significantly associated with the probability of network tie creation and maintenance. However, the role of dyadic effects such as geographic proximity and cognitive proximity has declined in the evolution of international research collaboration networks. This paper enriches the research of international research collaboration network dynamics and asks for more attention to the endogenous structural effects.
解析国际科研合作网络的动态:结构效应和二元效应
国际合作加速了知识在世界范围内的传播,导致了研究网络的兴起。国家嵌入在网络中,国家间的研究合作不可避免地受到网络结构本身的影响。然而,国际科研合作网络的内生机制却很少受到重视。利用2000年至2020年期间各国的合作作者数据,本文首先考察了合作网络的统计和拓扑特征。基于近期的网络动力学文献,我们提出了一个理解网络演化的理论框架,并将随机因素导向模型应用于实证检验。研究结果表明,随着时间的推移,协同网络的凝聚力日益增强,呈现出“轮辐”和三角结构并存的趋势。研究结果表明,内生结构特征在国际科研合作网络的演化中起着决定性作用。结构性影响的相对重要性从2000年的约40%上升到2020年的54%。特别是,随着时间的推移,国际研究合作网络的发展,三合一封闭和优先依恋这两种结构效应的影响都有所提升,这表明这两种结构网络效应相互加强,共同塑造了网络的演变。在二元效应方面,地理邻近性、认知邻近性和人才流动性与网络纽带的建立和维持概率呈显著正相关。然而,地理邻近性和认知邻近性等二元效应在国际科研合作网络演化中的作用有所下降。本文丰富了国际科研合作网络动态的研究内容,并要求更多地关注其内生结构效应。
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来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
期刊介绍: Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
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