| 科研合作中机构间科研主导力及邻近性机理——以中国生物医学领域为例 |
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| 引用本文： | 贺超城,吴江,魏子瑶,刘福珍.科研合作中机构间科研主导力及邻近性机理——以中国生物医学领域为例[J].情报学报,2020,39(2):148-157. |
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| 作者姓名： | 贺超城 吴江 魏子瑶 刘福珍 |
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| 作者单位： | 武汉大学信息资源研究中心,武汉 430072;武汉大学电子商务研究与发展中心,武汉 430072;武汉大学信息资源研究中心,武汉 430072;武汉大学电子商务研究与发展中心,武汉 430072;武汉大学信息资源研究中心,武汉 430072;武汉大学电子商务研究与发展中心,武汉 430072;武汉大学信息资源研究中心,武汉 430072;武汉大学电子商务研究与发展中心,武汉 430072 |
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| 基金项目： | 国家自然科学基金面上项目“创新2.0超网络中知识流动和群集交互的协同研究”（71373194），“内容关系互动下的在线医疗社区用户行为演化研究”（71573197） |
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| 摘 要： | 在学科紧密相关和信息资源相融的当代,探究科研合作的影响因素成了诸多学者关注的话题。然而,现有研究将各种合作关系视同一律,即两人发表一篇合著文章,便形成合作关系;同时,大部分研究没有系统地研究多维邻近性的影响。为此本文提出了"科研主导力"的概念与测度,并从多维邻近性出发系统地分析科研合作的影响因素。本文基于Web of Science (WoS)上2013-2017年的生物医学(Life Sciences&Biomedicine)领域中国境内科研机构发表的论文数据,采用社会网络分析和引力模型,揭示了中国境内生物医学领域的科研主导网络的网络拓扑特征与多维邻近性机制,发现科研主导力两极分化严重,分散程度提高,互惠程度提高;主导机构(通信作者所在机构)和参与机构(非通信作者所在机构)的累积科研主导力显著促进科研主导力的扩散,且主导机构的促进作用大于参与机构;地理距离会阻碍科研主导力的扩散;认知背景相似度越高,社会关系越密切,越能形成科研主导关系;同样的制度环境、文化环境可以促进科研主导关系的形成。本文对全面理解多样化的科研合作模式、演化及其影响因素提供借鉴意义,研究科研主导力的相关方法可以推广到其他领域中。
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| 关 键 词： | 科研主导力 科研合作 引力模型 社会网络分析 邻近性分析 |
Research Dominance Between Institutions and Its Proximity Mechanism in Research Collaboration:A Case Study of Chinas Biomedical Field |
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| He Chaocheng,Wu Jiang,Wei Ziyao,Liu Fuzhen.Research Dominance Between Institutions and Its Proximity Mechanism in Research Collaboration:A Case Study of Chinas Biomedical Field[J].Journal of the China Society for Scientific andTechnical Information,2020,39(2):148-157. |
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| Authors: | He Chaocheng Wu Jiang Wei Ziyao Liu Fuzhen |
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| Institution: | (Center for Studies of Information Resources,Wuhan University,Wuhan 430072;Center for Chinese E-commerce Research and Development,Wuhan University,Wuhan 430072) |
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| Abstract: | When disciplines are closely related and information resources are integrated, many scholars are concerned about investigating the factors that influence scientific research cooperation. However, prior studies have considered all the collaborations equally, which implies that if the names of two organizations are mentioned in the same paper, one collaboration is counted. In addition, most studies have failed to systematically and comprehensively examine the relationships between research collaboration and the key identified factors. Thus, in this study, we propose the concept and measurement of"research dominance"and examine the influence of multi-dimensional proximities on the diffusion of research dominance. We collect data related to the co-publications of Chinese institutions in Life Sciences & Biomedicine fields during the period of 2013-2017 from Web of Science. Social network analysis and gravity model shed light on the pattern and the role of multi-dimensional proximities on research dominance. In particular, research dominance is seriously polarized, but increasingly decentralized and reciprocal. The cumulative research dominance of the dominant institution and participating institution significantly and positively influences the diffusion of research dominance. Moreover, close cognitive, institutional, and social proximities facilitate the formation of research dominant relationship between the dominant and participating institutions, while geographical distance demonstrates a barrier influence on the diffusion of research dominance.This study provides a comprehensive insight of diversified modes of scientific research cooperation, evolution, and their influencing factors. It is important to note that research dominance can be extended to other fields as well. |
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| Keywords: | research dominance research collaboration gravity model social network analysis proximity mechanism |
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