Data raw from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.

支配等级（dominance hierarchy）的相关研究已有近百年历史。本文采用的科学学研究方法，为我们洞悉支配等级研究领域在这一漫长周期内的研究动态演变提供了高维度视角。为总结这些研究模式，笔者以"dominance hierarchy"为检索词在谷歌学术（Google Scholar）中进行检索，提取了相关文献的元数据，最终得到超26000篇文献。笔者采用文本挖掘方法，从三个维度评估相关研究模式：(1) 文献发表频次与速率的整体特征；(2) 术语使用的动态演变；(3) 该领域发展历程中文献间的术语共现情况。尽管每十年的文献总数量仍在持续增长，但近年的百分比增长率已有所回落，这表明尽管学界对支配等级的研究兴趣始终存在，但该领域已不再像早期数十年那样呈现爆发式增长态势。标题术语共现网络与社群结构的分析结果显示，支配等级研究的不同子领域在该领域发展初期界限最为分明，而现代研究则更多体现出研究社群的凝聚力，且缺乏清晰的术语社群边界。这些研究方法为我们呈现了支配等级研究的整体发展脉络，且可推广至其他领域或检索词，以对特定研究兴趣的模式获得全面的综合视角，尤其适用于拥有大量文献储备的研究领域。本文属于'啄序研究百年：支配等级研究的现状与未来展望'专题栏目。