Research On The Structural Equilibrium Of Scientist Collaboration Network And Team Structure

With the accumulation of scientific research data and the deepening of network data analysis methods,the research of "science" based on large scientific research data has become a hot field in recent years.Among them,because the scientific research collaboration network is the structural foundation of scientific research activities organization,scientific information dissemination and other aspects,it has a profound impact on the scientific research work of scientists,so it has been one of the hot topics in this field.In this paper,we focus on the distribution of the structural characteristics of scientists and the collaboration relationship of individuals in their scientific research collaboration networks,to discuss whether collaboration relationships depend on other scientists,and study the impact of scientific research team structure on the output of scientific research.This paper mainly does the following work and innovation:The positive triangle mapping method is used to analyze the collaborative relationship between scientists.Based on the data of scientific research collaboration network,this method maps each scientist to a standard regular triangle with three highly influential scientist who satisfy the given conditions in their neighborhood according to the close collaboration relationship.According to their mapping position distribution in the mapping triangle,the collaborative relationship pattern is determined.It is found that the distribution of scientists on the mapping triangle shows a central-gathering trend,which indicates that the collaborative relationship of scientists is often more evenly distributed among multiple high-impact collaborative objects,and the relationship model presents a strong equilibrium characteristics.The four research areas analyzed in this paper are all presented in the full parameter space.The factors such as academic age and citation number do not affect the expression of this trait.Further analysis shows that the influence of this equilibrium feature on the scientific research influence of scientists is mainly negative.This study provides a new perspective for analyzing the patterns of collaboration among scientists and the node relationships of various complex networks.Futhermore,the influence of the importance of scientific research team structure and the size of scientific research team on the output of scientific research is studied respectively.It is found that the influence of scientific research team,the index of importance of scientific research team and the scale of scientific research team all show Kuznets inverted U curve.Our results imply that an appropriate team size of research group and reasonable team structure would efficiently enhance the output of scientific research.