科研团队演化与领导者影响力演变规律探究

Research Teams’Evolution and Leaders’Influence

【目的】以干细胞领域为实证,探究科研团队的演化、作者影响力变迁规律及其相关关系。【方法】采用莱顿算法提取合作网络中的社团结构,根据影响力方差判断领导者模式,识别领导者,以皮尔逊相关系数和P值探讨社团规模演化与领导者节点影响力变迁的关联关系。【结果】科研团队具有明显的领导者特征,度方差远大于随机网络度方差;11/15的领导者在全部时间片内持续领导团队;约80%的社团规模与领导者中心度满足线性相关关系,R值十分接近1,且P值小于0.05。【局限】对复杂领导者模式进行简化,只选取了最具代表性的一位专家展开研究。【结论】领军人物在相当长时间内领导团队,且领导者的影响力变迁与团队规模呈现较强的相关性。

[Objective]This paper uses the stem cell field as an empirical example to investigate the evolution of research teams,the changes in author influence,and their relationships.[Methods]We employed the Leiden algorithm to extract community structures in the collaboration network.Then,we determined the leaders based on the influence variance.We utilized the Pearson correlation coefficient to explore the relationship between the community size evolution and leader node influence changes.[Results]The research team exhibited distinct leader characteristics,with a degree variance significantly higher than the degree variance in the random network.11 out of 15 leaders continuously led the team across all time slots.Approximately 80%of the community’s size and leader centrality showed a linear correlation,with R-values close to 1 and a P-value less than 0.05.[Limitations]This paper simplifies complex leader models by selecting only the most representative expert.[Conclusions]Key figures lead the team over a considerable period,and changes in leader influence are strongly correlated with team size.