Research on the editorial boards of scholarly journals has predominantly relied on static, cross-sectional data, focusing on their composition or interlocking editorships at single points in time. To address this gap, a formal stock-flow framework is developed for analyzing the longitudinal dynamics of editorial boards. The model integrates three interconnected layers: journal demographics, the dynamics of editorial positions, and the dynamics of board members. This framework is applied to the Gatekeepers of Economics Longitudinal Database (GOELD), which contains annual snapshots of editorial boards for approximately 1,700 economics journals from 1866 to 2006 (by decade), plus the years 2012 and 2019. The period until 1946 was characterized by small-scale: few journals and compact editorial communities. The decade from 1946 to 1956 marked the shift toward a ''big science'' model, initiating an era of expansionary growth fueled primarily by the founding of new journals. The contemporary period (2006-2019) appears to represent a structural break, characterized by low flux and more stable and more closed editorial communities. The results shows that the proposed framework enables a dynamic, long-term analysis of how journals and their gatekeeping systems evolve, grow, and structure themselves.

翻译：关于学术期刊编辑委员会的研究主要依赖静态截面数据，聚焦于特定时间点的成员构成或编辑互锁关系。为弥补这一研究空白，本文构建了正式存量-流量分析框架，用以解析编辑委员会的纵向动态演变特征。该模型整合三个关联维度：期刊人口统计学特征、编辑职位动态变化及编委会成员流转机制。研究依托经济学门户守护者纵向数据库（GOELD），该数据库收录约1700种经济学期刊自1866年至2006年（按十年间隔）以及2012年与2019年的年度编委会快照。1946年之前呈现小规模特征：期刊数量稀少且编辑社群高度集中。1946至1956年间标志着向"大科学"模式的转型，开启了以新刊创刊为主要驱动力的扩张增长时代。当代时期（2006-2019年）呈现出结构性断层特征，表现为低流动性、更稳定封闭的编辑社群。研究结果表明，本文提出的分析框架能够实现期刊及其门户系统演变、扩张与结构化过程的动态长周期分析。