邢晓昭 1 吕红能 2.基于结构复杂性的科研团队类型划分及特征分析
——以电动汽车领域为例[J].中国科技资源导刊,2021,(2):101~110 |
基于结构复杂性的科研团队类型划分及特征分析
——以电动汽车领域为例 |
Classification and Characteristic Analysis of Research Team Based on Structural Complexity—A Case Study in the Field of Electric Vehicle |
投稿时间:2020-08-25 |
DOI: |
中文关键词: 结构复杂性;团队类型;团队结构;社会网络分析;科研团队识别 |
英文关键词: structural complexity, team type, team structure, social network analysis, research team
identification |
基金项目:中国科学技术信息研究所青年基金“基于社会网络分析的科研团队演化规律研究”(QN2020-02);中国科学技术信息
研究所青年基金“基于大数据的区域科技创新态势识别研究”(QN2020-01)。 |
作者 | 单位 | 邢晓昭 1 吕红能 2 | (1.中国科学技术信息研究所,北京 100038;2.重庆大学,重庆 400044) |
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中文摘要: |
大科学时代,科研团队是科学创新活动的主要组织形式,但大量的科研团队并未备案,难以进行全面摸底
和分类管理。然而,科研团队是一个复杂系统,本文基于成员角色的结构复杂性分析方法对科研团队结构开展实证研
究,选取国内电动汽车领域专利发明人合作网络作为研究对象。首先,基于louvain算法发现科研团队成员;然后,采
用基于成员角色的结构复杂性分析方法识别团队结构,并将科研团队划分为6种类型;最后,基于Kruskal-Wallis检验
对不同类型团队特征进行比较分析。将研究分析发现,不同类型团队在有序程度、合作特征和产出能力方面呈现显著
差异,结构复杂性用于识别科研团队结构及其组织化程度具有良好效果。 |
英文摘要: |
In the era of Big Science, the research team is the the main organizational form of scientific
innovation. But a large number of research teams have not been filed, and it is difficult to conduct a
comprehensive survey and classified management.The research team is a complex system.This paper conducts
an empirical research on the analysis method of structural complexity based on member’s role. The inventors’
cooperative network of domestic patents in the field of electric vehicles is selected as the research object. First,
the team members were identified based on Louvain algorithm; Secondly, the structural complexity analysis
method based on member’s role is used to identify the team structure and divide the research team into six
types. On this basis, the characteristics of different types of teams were compared and analyzed based on
Kruskal-Wallis test. There are significant differences in the orderliness, cooperation mode and output capacity
among different types of teams. The structural complexity has a good effect in identifying the structure ofresearch team and its organizational degree. |
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