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

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。

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 of research team and its organizational degree.