| 基于动态网络分析的中国高绩效科研合作网络共性特征研究 |
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| 引用本文： | 李小龙,张海玲,刘洋.基于动态网络分析的中国高绩效科研合作网络共性特征研究[J].科技管理研究,2020,40(7):116-124. |
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| 作者姓名： | 李小龙 张海玲 刘洋 |
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| 作者单位： | 湖南工商大学大数据与互联网创新研究院;湖南工商大学新零售虚拟现实技术湖南省重点实验室,湖南长沙 410205;湖南工商大学大数据与互联网创新研究院;湖南工商大学新零售虚拟现实技术湖南省重点实验室,湖南长沙 410205 |
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| 基金项目： | 湖南省教育厅科学研究项目；基于科技论文大数据的高校科研人员协同创新机制研究；18C0619 |
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| 摘 要： | 运用动态网络分析法,以CNKI(China National Knowledge Infrastructure)中2017年综合指数排名前五的学者为核心构建的科研合作网络为研究对象,以2006—2017年间学者们参与的国内期刊论文为数据样本,构建含期刊论文影响因子权重的合著网络和关键词网络,从网络总体结构、整体属性和个体属性三个层面系统揭示不同领域高绩效科研合作网络潜在的共性特征,并按照时间段划分探究其演化规律。研究结果表明,高绩效科研合作网络具有整体规模大、平均聚类系数高、平均路径长度小、研究人员与关键词流动数目大等特点。以上研究结果可映射出实际的科研合作网络所具备的特征,对揭示高绩效科研合作网络隐含的共性特征具有理论意义,可为人事管理部门和科研人员对于协同创新战略规划、组织引导机制、管理制度创新等措施的出台提供科学依据。
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| 关 键 词： | 科研合作网络 动态网络分析 合著网络 关键词网络 |
| 收稿时间： | 2019/5/14 0:00:00 |
| 修稿时间： | 2019/7/11 0:00:00 |
A Study on the Common Characteristics of Chinese High Performance Research Cooperation Network based on Dynamic Network Analysis |
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| Abstract: | Purpose/Meaning]With the increasing complexity of research issues, academic research cooperation has become the main way to carry out research and scientific innovation activities. Through the analysis of high-performance scientific research cooperation network, we can understand the significance of scientific research cooperation in a deeper level, and guide the direction and mode of scientific research cooperation network management. Method/Process]The objects of this study are the scientific research cooperation network built by the top five scholars in the 2017 comprehensive index of CNKI. Data samples are the domestic journal papers participated by these scholars from 2006 to 2017. Dynamic Network Analysis as an effective analysis tool is employed to construct the weighted co-authored network and Keywordnetwork, both of which edge weights are subject to the impact factors of journal papers. The potential common characteristics are revealed from three different network levels, including network overall structure, overall attribute and individual attribute. Result/Conclusion]The results show that the high performance research cooperation network has the characteristics of large scale, high average clustering coefficient, small average path length, and large number of researchers and Keywordsflow. These research results can reflect the characteristics of the actual scientific research cooperation network, and have important theoretical significance for revealing the common characteristics of the high-performance scientific research cooperation network. It can provide scientific basis for personnel management departments and scientific researchers to introduce the strategic planning of collaborative innovation, organizational guidance mechanism, management system innovation and other measures. |
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| Keywords: | scientific research cooperation network dynamic network analysis co-authored networks keyword network |
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