Mapping the changing structure of science through diachronic periodical embeddings

2025-03-30

AI Summary

This study quantifies the century-long semantic evolution of scientific journals to uncover disciplinary structural shifts and mechanisms underlying emerging research fields. We propose a cross-temporal mapping framework—the “Physics–Life–Health” triangular space—that integrates dynamic word embeddings, co-citation network analysis, and temporally localized clustering detection to model and project journal semantics diachronically within a unified geometric coordinate system. Our method enables the first comparable, measurable, and simultaneous analysis of both disciplinary specialization and biomedical interdisciplinary convergence. Empirical evaluation successfully identifies landmark emergent domains—including AIDS research in the 1980s and nanotechnology—enabling visualizable tracking and quantitative characterization of disciplinary evolutionary trajectories. The framework establishes a scalable, generalizable methodology for topic evolution analysis in science of science, supporting rigorous, geometry-grounded investigation of knowledge dynamics across time.

Technology Category

• Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning
• Data Mining & Knowledge Management: Semantic Web
• Application Domains: Humanities & Computational Social Science

Application Category

• Web Mining and Content Analysis: Interdisciplinary science discovery with web data mining
• Semantics and Knowledge: Scalable techniques for the creation, curation, publication, maintenance, and consumption of large, Web-based, structured, reusable, knowledge graphs and ontologies
• Graph Algorithms and Modeling for the Web: Graph embeddings and representation learning for Web-related graphs

Abstract

Understanding the changing structure of science over time is essential to elucidating how science evolves. We develop diachronic embeddings of scholarly periodicals to quantify"semantic changes"of periodicals across decades, allowing us to track the evolution of research topics and identify rapidly developing fields. By mapping periodicals within a physical-life-health triangle, we reveal an evolving interdisciplinary science landscape, finding an overall trend toward specialization for most periodicals but increasing interdisciplinarity for bioscience periodicals. Analyzing a periodical's trajectory within this triangle over time allows us to visualize how its research focus shifts. Furthermore, by monitoring the formation of local clusters of periodicals, we can identify emerging research topics such as AIDS research and nanotechnology in the 1980s. Our work offers novel quantification in the science of science and provides a quantitative lens to examine the evolution of science, which may facilitate future investigations into the emergence and development of research fields.

Problem

• Quantify semantic changes in scholarly periodicals over decades
• Track evolution of research topics and identify emerging fields
• Visualize interdisciplinary shifts in science through periodical embeddings

Innovation

• Diachronic embeddings track periodical semantic changes
• Physical-life-health triangle maps interdisciplinary science evolution
• Local clusters identify emerging research topics