I published a new preprint called “Quantifying the dynamics of nearly 100 years of dominance hierarchy research”. In it, I take a science of science approach (along with text mining and network methods) to get a bird’s eye view of patterns of publication rates, term usage, and term co-occurrences over the history of this broad and varied field of research.
Preprint available here: https://ecoevorxiv.org/4hgkb/
Abstract
Dominance hierarchies have been studied for almost 100 years. A science of science approach can help provide high-level insight into how the dynamics of dominance hierarchy research have shifted or been maintained over this long timescale. To summarize these general patterns, I extracted publication metadata using a Google Scholar search of “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. Based on term co-occurrence networks and community structure, 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.
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